From c93d0c4949c581f3d43a7c84615eaa52e879116f Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 22:43:32 +0200 Subject: [PATCH 01/50] :bookmark: v1.4.0 --- CHANGELOG.md | 6 ++++++ CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index dadffedb..91d70e5f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,11 @@ ## Changelog +### v1.4.0 (August 22, 2025) +- added dublin core metadata exporter +- added ontolearner metadata documentation +- added `VERSION` file for versioning +- added ontolearner-metadata CI/CD based build. + ### v1.3.1 (August 13, 2025) - `Processor` module is operational. Fixed with ease of use principles. - The huggingface readme files template are updated. diff --git a/CITATION.cff b/CITATION.cff index aef8fd1d..3c7909ae 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.3.1 +version: 1.4.0 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 3a3cd8cc..88c5fb89 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.3.1 +1.4.0 From 11ad22eac365329f48101fda07c3246b737c37fa Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 22:53:37 +0200 Subject: [PATCH 02/50] :sparkles: update automated taging --- .github/workflows/python-publish.yml | 21 ++++++++++++--------- .github/workflows/test-package.yml | 4 ++++ pyproject.toml | 4 ++-- 3 files changed, 18 insertions(+), 11 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 7d9816b4..cdc206d0 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -24,12 +24,24 @@ jobs: curl -sSL https://install.python-poetry.org | python3 - echo "export PATH=\"$HOME/.local/bin:$PATH\"" >> $GITHUB_ENV + - name: Install poetry-dynamic-versioning plugin + run: poetry self add "poetry-dynamic-versioning[plugin]" + - name: Install dependencies run: poetry install --no-interaction --no-ansi - name: Build the package run: poetry build + # 🔹 Commit metadata back to repo + - name: Commit and push metadata + run: | + git config --global user.name "github-actions[bot]" + git config --global user.email "github-actions[bot]@users.noreply.github.com" + git add metadata/ + git commit -m ":bookmark: Update metadata after release" + git push origin HEAD:main + - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} @@ -43,12 +55,3 @@ jobs: run: | mkdir -p metadata poetry run python -c "from ontolearner import OntoLearnerMetadataExporter; OntoLearnerMetadataExporter().export('metadata/ontolearner-metadata.rdf')" - - # 🔹 Commit metadata back to repo - - name: Commit and push metadata - run: | - git config --global user.name "github-actions[bot]" - git config --global user.email "github-actions[bot]@users.noreply.github.com" - git add metadata/ - git commit -m ":bookmark: Update metadata after release" - git push origin HEAD:main diff --git a/.github/workflows/test-package.yml b/.github/workflows/test-package.yml index 0cd70606..8108764b 100644 --- a/.github/workflows/test-package.yml +++ b/.github/workflows/test-package.yml @@ -28,6 +28,10 @@ jobs: curl -sSL https://install.python-poetry.org | python3 - echo "$HOME/.local/bin" >> $GITHUB_PATH + - name: Install poetry-dynamic-versioning plugin + run: | + poetry self add "poetry-dynamic-versioning[plugin]" + - name: Configure Poetry and install dependencies run: | poetry config virtualenvs.create false diff --git a/pyproject.toml b/pyproject.toml index 4efc3f69..70473d29 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -40,9 +40,9 @@ pytest = "*" [tool.poetry-dynamic-versioning] enable = true -vcs = "git" style = "semver" -pattern = "tag" +source = "attr" +attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] From a5e0ead36528f3a3a2e34878c83a9e1957a89630 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 23:05:15 +0200 Subject: [PATCH 03/50] :bug: fix metadata commit --- .github/workflows/python-publish.yml | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index cdc206d0..6eb4448b 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -33,14 +33,24 @@ jobs: - name: Build the package run: poetry build - # 🔹 Commit metadata back to repo + # Commit metadata back to repo - name: Commit and push metadata run: | git config --global user.name "github-actions[bot]" git config --global user.email "github-actions[bot]@users.noreply.github.com" + + # Switch to main branch + git fetch origin main + git checkout main + + # Add metadata and commit only if changes exist git add metadata/ - git commit -m ":bookmark: Update metadata after release" - git push origin HEAD:main + if ! git diff --cached --quiet; then + git commit -m ":bookmark: Update metadata after release" + git push origin main + else + echo "No changes to commit" + fi - name: Configure Poetry for PyPI run: | From 8777c160ec63eb21b413154651f00a4d693b58d3 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 23:13:58 +0200 Subject: [PATCH 04/50] :bug: fix metadata release --- .github/workflows/python-publish.yml | 12 ++++++------ docs/source/ontologizer/metadata.rst | 2 +- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 6eb4448b..db7a37ae 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -33,6 +33,12 @@ jobs: - name: Build the package run: poetry build + # Generate metadata after publishing + - name: Generate Dublin Core metadata + run: | + mkdir -p metadata + poetry run python -c "from ontolearner import OntoLearnerMetadataExporter; OntoLearnerMetadataExporter().export('metadata/ontolearner-metadata.rdf')" + # Commit metadata back to repo - name: Commit and push metadata run: | @@ -59,9 +65,3 @@ jobs: - name: Publish to PyPI run: | poetry publish --no-interaction --no-ansi - - # 🔹 NEW STEP: Generate metadata after publishing - - name: Generate Dublin Core metadata - run: | - mkdir -p metadata - poetry run python -c "from ontolearner import OntoLearnerMetadataExporter; OntoLearnerMetadataExporter().export('metadata/ontolearner-metadata.rdf')" diff --git a/docs/source/ontologizer/metadata.rst b/docs/source/ontologizer/metadata.rst index 05f466cb..d3348ce4 100644 --- a/docs/source/ontologizer/metadata.rst +++ b/docs/source/ontologizer/metadata.rst @@ -3,7 +3,7 @@ Metadata .. note:: - OntoLearner Metadata will be created automatically at Github under `metadata/ `_ directory, and it is available for download after ``ontolearner > 1.3.1`` also at `Releases `_ per release. + OntoLearner Metadata will be created automatically at Github under `metadata/ `_ directory, and it is available for download after ``ontolearner > 1.4.0`` also at `Releases `_ per release. .. hint:: From a819812327f6107c12860a581b0921d76fd87e3e Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 23:14:26 +0200 Subject: [PATCH 05/50] :bookmark: v1.4.1 --- CHANGELOG.md | 5 ++++- CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 91d70e5f..8be423f1 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,10 +1,13 @@ ## Changelog + +### v1.4.0 (August 22, 2025) +- added ontolearner-metadata CI/CD based build. + ### v1.4.0 (August 22, 2025) - added dublin core metadata exporter - added ontolearner metadata documentation - added `VERSION` file for versioning -- added ontolearner-metadata CI/CD based build. ### v1.3.1 (August 13, 2025) - `Processor` module is operational. Fixed with ease of use principles. diff --git a/CITATION.cff b/CITATION.cff index 3c7909ae..5acdb65d 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.4.0 +version: 1.4.1 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 88c5fb89..347f5833 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.4.0 +1.4.1 From b6bcb69aa9462955bcb5cbffc36d83a4c4e97686 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 23:42:29 +0200 Subject: [PATCH 06/50] :bug: repo push --- .github/workflows/python-publish.yml | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index db7a37ae..596ba776 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -41,15 +41,12 @@ jobs: # Commit metadata back to repo - name: Commit and push metadata + env: + GITHUB_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} run: | git config --global user.name "github-actions[bot]" git config --global user.email "github-actions[bot]@users.noreply.github.com" - - # Switch to main branch - git fetch origin main - git checkout main - - # Add metadata and commit only if changes exist + git remote set-url origin https://x-access-token:${GITHUB_TOKEN}@github.com/sciknoworg/OntoLearner.git git add metadata/ if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" From 50d2d2a30e625a67aff79663be26417fa981da3b Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Fri, 22 Aug 2025 23:49:45 +0200 Subject: [PATCH 07/50] :bug: repo push --- .github/workflows/python-publish.yml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 596ba776..7ed770d2 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -42,11 +42,17 @@ jobs: # Commit metadata back to repo - name: Commit and push metadata env: - GITHUB_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | git config --global user.name "github-actions[bot]" git config --global user.email "github-actions[bot]@users.noreply.github.com" - git remote set-url origin https://x-access-token:${GITHUB_TOKEN}@github.com/sciknoworg/OntoLearner.git + + git fetch origin main + git checkout main + + # Re-authenticate remote with GITHUB_TOKEN explicitly + git remote set-url origin https://x-access-token:${GITHUB_TOKEN}@github.com/${{ github.repository }} + git add metadata/ if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" @@ -55,6 +61,7 @@ jobs: echo "No changes to commit" fi + - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} From d1a418a92caae9f432ffaea7685576c8651b8043 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 00:00:42 +0200 Subject: [PATCH 08/50] :bug: add repo push --- .github/workflows/python-publish.yml | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 7ed770d2..109ca732 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -42,21 +42,23 @@ jobs: # Commit metadata back to repo - name: Commit and push metadata env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + REPO_PUSH_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} run: | git config --global user.name "github-actions[bot]" git config --global user.email "github-actions[bot]@users.noreply.github.com" + # Fetch and switch to main branch git fetch origin main git checkout main - # Re-authenticate remote with GITHUB_TOKEN explicitly - git remote set-url origin https://x-access-token:${GITHUB_TOKEN}@github.com/${{ github.repository }} - + # Add metadata files git add metadata/ + + # Commit only if changes exist if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" - git push origin main + # Push using the PAT token + git push https://x-access-token:${REPO_PUSH_TOKEN}@github.com/${GITHUB_REPOSITORY}.git main else echo "No changes to commit" fi From f7943a4c6b03ca5d4b9e53e5d06f74e9239dd428 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 00:16:59 +0200 Subject: [PATCH 09/50] :bug: add repo push --- .github/workflows/python-publish.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 109ca732..bf41b5ac 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -57,13 +57,11 @@ jobs: # Commit only if changes exist if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" - # Push using the PAT token - git push https://x-access-token:${REPO_PUSH_TOKEN}@github.com/${GITHUB_REPOSITORY}.git main + git push https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git main else echo "No changes to commit" fi - - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} From 285521391da9887c3b5c9770fd94e8f4fe51a033 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 00:26:25 +0200 Subject: [PATCH 10/50] :pencil2: add remote set-url --- .github/workflows/python-publish.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index bf41b5ac..d006f1de 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -45,7 +45,7 @@ jobs: REPO_PUSH_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} run: | git config --global user.name "github-actions[bot]" - git config --global user.email "github-actions[bot]@users.noreply.github.com" + git config --global user.email "actions@github.com" # Fetch and switch to main branch git fetch origin main @@ -57,7 +57,8 @@ jobs: # Commit only if changes exist if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" - git push https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git main + git remote set-url origin https://x-access-token:${PAT_TOKEN}@github.com/sciknoworg/OntoLearner.git + git push origin main else echo "No changes to commit" fi From 9b297248185863fa201e07397a4a667f708db5ea Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 00:36:10 +0200 Subject: [PATCH 11/50] :pencil2: add token --- .github/workflows/python-publish.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index d006f1de..da314345 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -57,7 +57,7 @@ jobs: # Commit only if changes exist if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" - git remote set-url origin https://x-access-token:${PAT_TOKEN}@github.com/sciknoworg/OntoLearner.git + git remote set-url origin https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git git push origin main else echo "No changes to commit" From 70f4767d187f2eff356b6b974c9e49ca20a72e64 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 00:57:45 +0200 Subject: [PATCH 12/50] :pencil2: PR automation for metadata --- .github/workflows/python-publish.yml | 24 +++++++++++++++++++----- 1 file changed, 19 insertions(+), 5 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index da314345..47821d41 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -13,6 +13,8 @@ jobs: steps: - name: Checkout code uses: actions/checkout@v4 + with: + persist-credentials: false # important to use PAT for pushing - name: Set up Python uses: actions/setup-python@v4 @@ -39,7 +41,7 @@ jobs: mkdir -p metadata poetry run python -c "from ontolearner import OntoLearnerMetadataExporter; OntoLearnerMetadataExporter().export('metadata/ontolearner-metadata.rdf')" - # Commit metadata back to repo + # Commit metadata back via a branch + PR - name: Commit and push metadata env: REPO_PUSH_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} @@ -47,9 +49,8 @@ jobs: git config --global user.name "github-actions[bot]" git config --global user.email "actions@github.com" - # Fetch and switch to main branch - git fetch origin main - git checkout main + # Create/update temporary branch for metadata + git checkout -B auto-update # Add metadata files git add metadata/ @@ -58,11 +59,24 @@ jobs: if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" git remote set-url origin https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git - git push origin main + git push origin auto-update --force else echo "No changes to commit" fi + # Create or update PR for metadata + - name: Create or update Pull Request + uses: peter-evans/create-pull-request@v5 + with: + token: ${{ secrets.REPO_PUSH_TOKEN }} + commit-message: ":bookmark: Update metadata after release" + branch: auto-update + base: main + title: "🤖 Automated metadata update" + body: "This PR updates Dublin Core metadata automatically after package release." + labels: automated + update-branch: true # ensures the PR is updated if it already exists + - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} From 2863dea98135d6562dd95625a548b6988f117b58 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 01:23:57 +0200 Subject: [PATCH 13/50] :pencil2: skip auto-update branch --- .github/workflows/test-package.yml | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test-package.yml b/.github/workflows/test-package.yml index 8108764b..79796888 100644 --- a/.github/workflows/test-package.yml +++ b/.github/workflows/test-package.yml @@ -2,12 +2,17 @@ name: Test OntoLearner Package on: push: - branches: [main] + branches: + - main + - '!auto-update' pull_request: - branches: [main] + branches: + - main jobs: build-and-test: + if: github.head_ref != 'auto-update' + runs-on: ubuntu-latest strategy: From 4ac970c6b7f99405a43ca67607646569bef42ead Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 01:24:15 +0200 Subject: [PATCH 14/50] :pencil2: add auto-update merge --- .github/workflows/python-publish.yml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 47821d41..06e9097f 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -77,6 +77,14 @@ jobs: labels: automated update-branch: true # ensures the PR is updated if it already exists + # Automatically merge the PR if possible + - name: Auto-merge PR + uses: peter-evans/merge-pull-request@v3 + with: + token: ${{ secrets.REPO_PUSH_TOKEN }} + pull-request: auto # merges the PR created/updated above + merge-method: squash # options: squash, merge, rebase + - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} From 6f9ee6714cda6254a2c37ae7c72533cdf1ec2b47 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 01:37:22 +0200 Subject: [PATCH 15/50] :bug: fix peter-evans pull and merge request --- .github/workflows/python-publish.yml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 06e9097f..711caa5d 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -66,7 +66,7 @@ jobs: # Create or update PR for metadata - name: Create or update Pull Request - uses: peter-evans/create-pull-request@v5 + uses: peter-evans/create-pull-request@v3 with: token: ${{ secrets.REPO_PUSH_TOKEN }} commit-message: ":bookmark: Update metadata after release" @@ -75,15 +75,14 @@ jobs: title: "🤖 Automated metadata update" body: "This PR updates Dublin Core metadata automatically after package release." labels: automated - update-branch: true # ensures the PR is updated if it already exists # Automatically merge the PR if possible - name: Auto-merge PR - uses: peter-evans/merge-pull-request@v3 + uses: peter-evans/enable-pull-request-automerge@v3 with: token: ${{ secrets.REPO_PUSH_TOKEN }} - pull-request: auto # merges the PR created/updated above - merge-method: squash # options: squash, merge, rebase + pull-request-number: ${{ steps.cpr.outputs.pull-request-number }} + merge-method: squash - name: Configure Poetry for PyPI run: | From d69b83358d977fb9b0ac21e926a5f4555fb71826 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 01:38:53 +0200 Subject: [PATCH 16/50] :pencil2: merge only workflow PR --- .github/workflows/python-publish.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 711caa5d..b825c84b 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -66,6 +66,7 @@ jobs: # Create or update PR for metadata - name: Create or update Pull Request + id: cpr uses: peter-evans/create-pull-request@v3 with: token: ${{ secrets.REPO_PUSH_TOKEN }} @@ -78,6 +79,7 @@ jobs: # Automatically merge the PR if possible - name: Auto-merge PR + if: steps.cpr.outputs.pull-request-operation == 'created' uses: peter-evans/enable-pull-request-automerge@v3 with: token: ${{ secrets.REPO_PUSH_TOKEN }} From 14cd3c34027461ca8b95d62bea5a6f1e2092356e Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 01:49:48 +0200 Subject: [PATCH 17/50] :pencil2: --- .github/workflows/python-publish.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index b825c84b..eb6e7c22 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -1,4 +1,7 @@ name: Publish Python Package +permissions: + contents: write + pull-requests: write on: push: From 087224e3b38d852db4770ef7c419a299fa0ba691 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 02:54:36 +0200 Subject: [PATCH 18/50] :pencil2: --- .github/workflows/python-publish.yml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index eb6e7c22..37da6b08 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -54,15 +54,16 @@ jobs: # Create/update temporary branch for metadata git checkout -B auto-update - + ls -a + ls metadata/ # Add metadata files - git add metadata/ + git add metadata/ontolearner-metadata.rdf # Commit only if changes exist if ! git diff --cached --quiet; then git commit -m ":bookmark: Update metadata after release" git remote set-url origin https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git - git push origin auto-update --force + git push origin auto-update else echo "No changes to commit" fi From a4350b3a3c2139ccf92ac05fc1a4f4aff19c4b25 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sat, 23 Aug 2025 03:10:41 +0200 Subject: [PATCH 19/50] :pencil2: --- .github/workflows/python-publish.yml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 37da6b08..c3417be1 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -71,15 +71,13 @@ jobs: # Create or update PR for metadata - name: Create or update Pull Request id: cpr - uses: peter-evans/create-pull-request@v3 + uses: peter-evans/create-pull-request@v7 with: - token: ${{ secrets.REPO_PUSH_TOKEN }} commit-message: ":bookmark: Update metadata after release" + title: "🤖 Automated metadata update" branch: auto-update base: main - title: "🤖 Automated metadata update" - body: "This PR updates Dublin Core metadata automatically after package release." - labels: automated + # Automatically merge the PR if possible - name: Auto-merge PR From 314e3f4ca203b08c5e7592af16c25956abc8cb93 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:04:34 +0200 Subject: [PATCH 20/50] :pencil2: fix PR and add delete to auto-update branch --- .github/workflows/python-publish.yml | 42 +++++++++------------------- 1 file changed, 13 insertions(+), 29 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index c3417be1..2cf01553 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -44,40 +44,18 @@ jobs: mkdir -p metadata poetry run python -c "from ontolearner import OntoLearnerMetadataExporter; OntoLearnerMetadataExporter().export('metadata/ontolearner-metadata.rdf')" - # Commit metadata back via a branch + PR - - name: Commit and push metadata - env: - REPO_PUSH_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} - run: | - git config --global user.name "github-actions[bot]" - git config --global user.email "actions@github.com" - - # Create/update temporary branch for metadata - git checkout -B auto-update - ls -a - ls metadata/ - # Add metadata files - git add metadata/ontolearner-metadata.rdf - - # Commit only if changes exist - if ! git diff --cached --quiet; then - git commit -m ":bookmark: Update metadata after release" - git remote set-url origin https://x-access-token:${REPO_PUSH_TOKEN}@github.com/sciknoworg/OntoLearner.git - git push origin auto-update - else - echo "No changes to commit" - fi - - # Create or update PR for metadata - - name: Create or update Pull Request + - name: Create and update Pull Request id: cpr uses: peter-evans/create-pull-request@v7 with: - commit-message: ":bookmark: Update metadata after release" - title: "🤖 Automated metadata update" + token: ${{ secrets.REPO_PUSH_TOKEN }} branch: auto-update base: main - + commit-message: ":bookmark: Update metadata after release" + title: "🤖 Automated metadata update" + body: "This PR updates the Dublin Core metadata after release." + add-paths: | + metadata/ontolearner-metadata.rdf # Automatically merge the PR if possible - name: Auto-merge PR @@ -88,6 +66,12 @@ jobs: pull-request-number: ${{ steps.cpr.outputs.pull-request-number }} merge-method: squash + - name: Delete auto-update branch + if: steps.cpr.outputs.pull-request-operation == 'created' + run: git push origin --delete auto-update + env: + GITHUB_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} + - name: Configure Poetry for PyPI run: | poetry config pypi-token.pypi ${{ secrets.TWINE_API_TOKEN }} From 8a167f96bca0367499cf20176f9b22c962850077 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:11:05 +0200 Subject: [PATCH 21/50] :pencil2: minor fix --- docs/source/ontologizer/metadata.rst | 20 ++++++++++---------- ontolearner/_ontology.py | 2 +- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docs/source/ontologizer/metadata.rst b/docs/source/ontologizer/metadata.rst index d3348ce4..115d2094 100644 --- a/docs/source/ontologizer/metadata.rst +++ b/docs/source/ontologizer/metadata.rst @@ -31,7 +31,7 @@ The ``OntoLearnerMetadataExporter`` is a utility class for generating **Dublin C xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> - + OntoLearner Benchmark Ontologies This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. OntoLearner Team @@ -74,7 +74,7 @@ The following table summarizes the key **Dublin Core metadata properties** captu - NCI Thesaurus (NCIt) - Ontology full name * - ``dcterms:description`` - - See above example RDF structure + - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain... - Detailed ontology description * - ``dcterms:creator`` - NCI @@ -89,7 +89,7 @@ The following table summarizes the key **Dublin Core metadata properties** captu - Creative Commons 4.0 - License information * - ``dcterms:source`` - - URL + - `https://terminology.tib.eu/ts/ontologies/NCIT `_ - Download or reference URL * - ``dcterms:subject`` - Medicine @@ -102,13 +102,13 @@ The following represents the benchmark collection info. The `dcterms:hasVersion` .. code-block:: xml - - OntoLearner Benchmark Ontologies - This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. - OntoLearner Team - MIT License - 1.4.0 - + + OntoLearner Benchmark Ontologies + This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. + OntoLearner Team + MIT License + 1.4.0 + Exporter -------------------- diff --git a/ontolearner/_ontology.py b/ontolearner/_ontology.py index 7d40fc97..a8d8efc8 100644 --- a/ontolearner/_ontology.py +++ b/ontolearner/_ontology.py @@ -79,7 +79,7 @@ def export(self, path: str = "DCMI-Metadata.rdf"): g_head.bind("dcterms", DCTERMS) g_head.bind("ontologizer", ONTOLOGIZER) - collection_uri = URIRef("https://ontolearner.readthedocs.io/benchmarking/") + collection_uri = URIRef("https://ontolearner.readthedocs.io/benchmarking/benchmark.html") g_head.add((collection_uri, RDF.type, ONTOLOGIZER.Collection)) g_head.add((collection_uri, DC.title, Literal("OntoLearner Benchmark Ontologies"))) g_head.add((collection_uri, DC.description, Literal( From f91ad2daec4f68449785b7c73f97d29f5e7e517b Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:10:40 +0200 Subject: [PATCH 22/50] :bookmark: Update metadata after release (#269) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 2233 +++++++++++++++++++++++++++++ 1 file changed, 2233 insertions(+) create mode 100644 metadata/ontolearner-metadata.rdf diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf new file mode 100644 index 00000000..2f12e66d --- /dev/null +++ b/metadata/ontolearner-metadata.rdf @@ -0,0 +1,2233 @@ + + + + OntoLearner Benchmark Ontologies + This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. + OntoLearner Team + MIT License + 1.4.1 + + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo + OWL + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl + Medicine + Emotion + + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + TTL + 2019-11-21 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/core-concepts-ontology + News and Media + Core Concepts + 1.30 + + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. + OWL + 2023-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e + + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp + OWL + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce + 1.0 + + + AUTO + Automotive Ontology (AUTO) + The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. + EDM Council + RDF + 2021-03-01 + MIT + https://github.com/edmcouncil/auto/tree/master + Industry + Automotive + + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz + TTL + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + Materials Science and Engineering + Materials Science + + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE + OWL + 08 February 2022 + Creative Commons 4.0 + https://www.ontologyportal.org/ + Chemistry + 1.0 + + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group + OWL + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + Materials Science and Engineering + Materials Science, Engineering, Systems + + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo + Materials Science and Engineering + Materials Science + 1.0.0 + + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + RDF + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works + 1.0 + + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/doco + Education + document components + 1.3 + + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-atomistic + Materials Science and Engineering + Materials Science + 0.0.2 + + + GND + Gemeinsame Normdatei (GND) + GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. + Alexander Haffner + RDF + 2024-08-26 + Creative Commons 1.0 + https://d-nb.info/standards/elementset/gnd + Library and Cultural Heritage + Authority Files + 1.2.0 + + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + OWL + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ + Scholarly Knowledge + Research Data Infrastructure + 3.0.0 + + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller + RDF + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 + + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University + OWL + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + Materials Science and Engineering + Manufacturing + 2.0 + + + SWO + Software Ontology (SWO) + The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. + Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + OWL + 2013-07-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SWO + Scholarly Knowledge + Software + 1.0 + + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler + TTL + Creative Commons 4.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge + + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. + TTL + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology + Materials Science and Engineering + Materials Science + 1.1 + + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). + OWL + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo + Biology and Life Sciences + Biology + 3.75.0 + + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + OWL + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 + + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + OWL + 2024-11-18 + Creative Commons 4.0 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology + + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup + OWL + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso + Chemistry + Spectroscopy + 2024-09-23 + + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) + OWL + 2024-03 + Creative Commons 4.0 + https://emmo-repo.github.io/ + Materials Science and Engineering + Materials Modelling + 1.0.0-rc3 + + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 + + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center + TTL + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS + Materials Science and Engineering + Materials Science + 0.3.0.0 + + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi + RDF + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social + 1.0 + + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). + OWL + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 + + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO + TTL + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology + 1.0 + + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. + Knowledge Media Institute, Open University + RDF + 2013/07/22 + Creative Commons 4.0 + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 + + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top + RDF + June 28, 2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 + + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton + RDF + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration + + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team + OWL + Creative Commons 4.0 + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ + Materials Science and Engineering + Materials Science + 0.2 + + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR + OWL + Creative Commons 4.0 + https://www.loa.istc.cnr.it/index.php/dolce/ + Upper Ontology + Linguistics, Cognitive Science + + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development + + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/General-Process-Ontology/ontology + Materials Science and Engineering + Materials Science + + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. + RDF + November 2015 + Creative Commons 4.0 + https://ontome.net/namespace/6#summary + Scholarly Knowledge + Bibliographic Records + 2.4 + + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/Battery-Value-Chain-Ontology/ontology + Materials Science and Engineering + Materials Science + 0.4.3 + + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan + OWL + 2019-02-17 + Creative Commons 4.0 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge + + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 + + + BBC + BBC Ontology (BBC) + The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/bbc-ontology/ + News and Media + News + 1.37 + + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + LPBFO + Laser Powder Bed Fusion Ontology (LPBFO) + The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. + Fraunhofer IWM + OWL + 2022-09-20 + Creative Commons 4.0 + https://matportal.org/ontologies/LPBFO + Materials Science and Engineering + Materials Science + 1.1.9 + + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + TTL + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology + Materials Science and Engineering + Materials Science + + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech + OWL + July 14, 2022 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 + + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics + RDF + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 + + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo + OWL + 2020 + Creative Commons 4.0 + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 + + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. + OWL + 2022-04-19 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rsc-cmo + Chemistry + + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing + Materials Science and Engineering + Mechanical Testing + 1.0.0 + + + SchemaOrg + Schema.org Ontology (SchemaOrg) + Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. + Schema.org Community + OWL + 2024-11-22 + Creative Commons 4.0 + https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl + General Knowledge + Web Development + 28.1 + + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media + Provenance + 1.9 + + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + OWL + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 + + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook + OWL + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 + + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + TTL + 2013-05-01 + Creative Commons 4.0 + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 + + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography + Materials Science and Engineering + Crystallography + 0.0.1 + + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World + TTL + 2025-01-22 + Creative Commons 4.0 + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics + + + DublinCore + Dublin Core Vocabulary (DublinCore) + The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. + The Dublin Core Metadata Initiative + RDF + February 17, 2017 + Public Domain + https://bioportal.bioontology.org/ontologies/DC + General Knowledge + Metadata + 1.1 + + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith + RDF + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 + + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi + RDF + 19-04-2016 + Creative Commons 4.0 + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + Scholarly Knowledge + Linguistics + 1.0 + + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + TTL + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies + General Knowledge + General + 2.0 + + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 + Creative Commons 4.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a + + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 + Creative Commons 4.0 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 + + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + TTL + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 + + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James + RDF + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software + + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 + Creative Commons 4.0 + https://github.com/perks-project/pk-ontology/tree/master + Industry + Provenance + 1.0.0 + + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics + TTL + April, 2024 + Creative Commons 3.0 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 + + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen + TTL + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL + Materials Science and Engineering + Materials Testing + 0.1 + + + BBCProgrammes + BBC Programmes Ontology (BBCProgrammes) + This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. + https://moustaki.org/foaf.rdf#moustaki + TTL + 2009/02/20 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/programmes-ontology + News and Media + Programmes + 1.1 + + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Materials Science + 4.0 + + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University + OWL + Creative Commons 4.0 + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 + + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo + Materials Science and Engineering + Materials Science + 1.0.0 + + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + TTL + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + Materials Science and Engineering + Materials Science + 2.0 + + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cmso/tree/main + Materials Science and Engineering + Materials Science + 0.0.1 + + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 + + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant + RDF + 2013-05-24 + Creative Commons 3.0 + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 + + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) + RDF + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 + + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + OWL + Feb. 9, 2007 + Creative Commons 4.0 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 + + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium + TTL + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ + Units and Measurements + Temporal Reasoning + 1.0 + + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 + Creative Commons 4.0 + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 + + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. + Ahmad Zainul Ihsan + OWL + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM + Materials Science and Engineering + Materials Science + 1.0 + + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + OWL + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 + + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ + OWL + 2014-03-12 + Creative Commons 4.0 + https://vocab.linkeddata.es/p-plan/index.html + Scholarly Knowledge + 1.3 + + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + OWL + Creative Commons 4.0 + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development + + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/creative-work-ontology + News and Media + Creative Work + 1.19 + + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + OWL + 01/01/2025 + Creative Commons 4.0 + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 + + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch + RDF + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory + 1.0 + + + MOP + Molecular Process Ontology (MOP) + MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. + OWL + 2022-05-11 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/MOP + Chemistry + Chemistry, Molecular Biology + 2022-05-11 + + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. + OWL + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata + + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 + + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + 0.1 + + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco + Materials Science and Engineering + Materials Science + 1.0.0 + + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan + OWL + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + Materials Science and Engineering + Materials Science + 1.0 + + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + OWL + 2021-10-26 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) + OWL + March 11, 2018 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 + + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. + OWL + 2025-02-17 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge + 1.0 + + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group + RDF + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing + 1.0 + + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + OWL + 2025-02-17 + Creative Commons 4.0 + https://www.ontologyportal.org/ + Upper Ontology + 1.0 + + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium + OWL + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 + + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/ldo + Materials Science and Engineering + Materials Defects + 1.0.0 + + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier + OWL + 03/25/2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 + + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 + + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober + OWL + 2017-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 + + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + OWL + 2025-01-09 + Creative Commons 4.0 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations + + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + OWL + 16 April 2015 + http://www.biopax.org/ + Biology and Life Sciences + Bioinformatics + 1.0 + + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 + + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw + OWL + 2025-03-11 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/REX + Chemistry + 1.0 + + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp + RDF + 2025-02-21 + Creative Commons 3.0 + http://www.productontology.org/ + Industry + 1.0 + + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark + TTL + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics + Materials Science and Engineering + Materials Science + 0.0.1 + + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen + RDF + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 + + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France + OWL + May 11, 2020 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 + + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. + TTL + 2015-11-10 + Creative Commons 4.0 + https://rdfs.co/juso/0.1.1/html + Geography + geographical knowledge + 0.1.1 + + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html + Scholarly Knowledge + Linguistics + 3.0 + + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni + RDF + 15/09/2022 + Creative Commons 4.0 + https://schema.datacite.org/ + Scholarly Knowledge + Metadata + 3.1 + + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi + OWL + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 + + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. + OWL + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 + + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl + OWL + 2015-02-23 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SEPIO + Scholarly Knowledge + Scientific Evidence + + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw + RDF + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 + + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + Materials Science and Engineering + Materials Science + + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering + Scholarly Knowledge + + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 + Creative Commons 4.0 + https://vocab.org/aiiso/ + Scholarly Knowledge + Academic Institution + 1.0 + + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California + OWL + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 + + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center + TTL + March 1, 2022 + Creative Commons 4.0 + https://qudt.org/ + Units and Measurements + Physics + 2.1 + + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + MAT + Material Properties Ontology (MAT) + The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. + María Poveda-Villalón, Serge Chávez-Feria + RDF + Creative Commons 4.0 + https://bimerr.iot.linkeddata.es/def/material-properties/ + Materials Science and Engineering + Materials Properties + 0.0.8 + + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 + Creative Commons 4.0 + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 + + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 + Creative Commons 4.0 + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 + + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas + OWL + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 + + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials + 0.1 + + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + TTL + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 + + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + TTL + May 24, 2023 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 0.1.0 + + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + OWL + 2015-11-23 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 + + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway + RDF + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 + + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ + TTL + 2014-01-06 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/politics-ontology + News and Media + Politics + 0.9 + + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + OWL + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF + Chemistry + 2.1.0 + + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + OWL + 04-14-2022 + Creative Commons 4.0 + https://github.com/proco-ontology/PROCO + Chemistry + Chemicals, Processes + 04-14-2022 + + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv + Materials Science and Engineering + Materials Science + 1.0.0 + + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen + TTL + 2020-08-06 + Creative Commons 4.0 + https://github.com/alikucukavci/FSO/ + Materials Science and Engineering + Materials Science + 0.1.0 + + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. + TTL + 2014/03/18 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/food-ontology + News and Media + Food and Beverage + 0.1 + + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + OWL + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics + + + Metadata4Ing + Metadata for Intelligent Engineering (Metadata4Ing) + The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. + Metadata4Ing Workgroup + TTL + 2025-03-10 + Creative Commons 4.0 + https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing + Scholarly Knowledge + Materials Science + 1.3.1 + + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + OWL + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition + + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry + OWL + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases + + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + OWL + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ + Scholarly Knowledge + Workflows + 3.1 + + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant + RDF + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 + + + MassSpectrometry + Mass Spectrometry Ontology (MassSpectrometry) + A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. + Andreas Bertsch + OWL + 12:02:2025 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/MS + Chemistry + Mass Spectrometry, Proteomics + + + BBCBusiness + BBC Business News Ontology (BBCBusiness) + The Business News Ontology describes the concepts that occur in BBC business news. + https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed + TTL + 2014-11-09 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/business-news-ontology + News and Media + Business News + 0.5 + + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + RDF + 08:08:2024 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 + + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation + TTL + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 + + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + OWL + 24.09.2024 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) + + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton + OWL + 2018-02-16 + Creative Commons 4.0 + https://github.com/SPAROntologies/cito/tree/master/docs/current + Scholarly Knowledge + Scholarly Communication + 2.8.1 + + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM + TTL + MIT License + https://github.com/Mat-O-Lab/MSEO + Materials Science and Engineering + Materials Science + + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. + TTL + https://github.com/BIG-MAP/BattINFO + Materials Science and Engineering + Materials Science + + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium + RDF + 2022-11-02 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy + 1.0 + + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/pldo + Materials Science and Engineering + Materials Defects + 1.0.0 + + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO + Materials Science and Engineering + Materials Science + + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group + TTL + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + Materials Science and Engineering + Sensor Networks + 1.0 + + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute + OWL + April 26th, 2024 + Creative Commons 4.0 + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 + + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST + OWL + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO + Units and Measurements + + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. + OWL + Academic Free License (AFL) + https://expo.sourceforge.net/ + Scholarly Knowledge + Scientific Experiments + + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + OWL + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO + General Knowledge + Information, Data, Knowledge + + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik + TTL + 2019-09 + Creative Commons 4.0 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge + + + QUDV + Quantities, Units, Dimensions and Values (QUDV) + The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. + SysML + OWL + 2009-10-30 + Apache License 2.0 + https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl + Units and Measurements + 2009-10-30 + + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 + + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer + TTL + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge + Materials Science + + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + OWL + 2021-01-02 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/VIMMP_ONTOLOGIES + Materials Science and Engineering + Materials Modeling + + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz + TTL + 2023-05-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/iassouroko/AMontology + Materials Science and Engineering + Manufacturing + 1.0 + + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 + + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors + OWL + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph + + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + TTL + 2025-03-01 + Creative Commons 1.0 + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + Materials Science and Engineering + Research Data, Interoperability + 3.0.0 + + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) + OWL + 2022-08-02 + Creative Commons 4.0 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 + + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology + Materials Science and Engineering + Materials Science + 1.0.0 + + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + OWL + https://github.com/jesper-friis/emmo-microstructure + Materials Science and Engineering + Microstructure + + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ + TTL + 2013/12/18 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife + 1.1 + + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google + RDF + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 + + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. + OWL + 2016/04/30 + Creative Commons 3.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences + + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann + OWL + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 + + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + OWL + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 + + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + OWL + 2021-12-16 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rxno + Chemistry + + \ No newline at end of file From 301250b5daadfe8a3e6d3374c851ae0365c5aa54 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:18:42 +0200 Subject: [PATCH 23/50] :bookmark: Update metadata after release (#270) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3494 ++++++++++++++--------------- 1 file changed, 1747 insertions(+), 1747 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index 2f12e66d..7f9daf2d 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -7,53 +7,117 @@ MIT License 1.4.1 - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 + Creative Commons 4.0 + https://github.com/perks-project/pk-ontology/tree/master + Industry + Provenance + 1.0.0 + + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni + RDF + 15/09/2022 + Creative Commons 4.0 + https://schema.datacite.org/ + Scholarly Knowledge + Metadata + 3.1 + + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš OWL - Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion + 24.09.2024 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) - - BBCCoreConcepts - BBC Core Concepts Ontology (BBCCoreConcepts) - The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. - jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 + + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World TTL - 2019-11-21 + 2025-01-22 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/core-concepts-ontology - News and Media - Core Concepts - 1.30 + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. - OWL - 2023-10-19 + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 + + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top + RDF + June 28, 2024 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT - Medicine - Cancer, Oncology - 24.04e + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 - - GoodRelations - Good Relations Language Reference (GoodRelations) - GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. - Martin Hepp + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 + + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw OWL - 2011-10-01 - Creative Commons 3.0 - https://www.heppnetz.de/ontologies/goodrelations/v1 - Finance - E-commerce + 2025-03-11 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/REX + Chemistry 1.0 @@ -68,347 +132,341 @@ Industry Automotive - - ONTORULE - Ontology for the Steel Domain (ONTORULE) - This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. - Diego Daz - TTL - 2010-05-31 - N/A - https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl - Materials Science and Engineering - Materials Science - - - OntoKin - Chemical Kinetics Ontology (OntoKin) - OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. - IEEE + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance OWL - 08 February 2022 + 04-14-2022 Creative Commons 4.0 - https://www.ontologyportal.org/ + https://github.com/proco-ontology/PROCO Chemistry - 1.0 - - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group - OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM - Materials Science and Engineering - Materials Science, Engineering, Systems + Chemicals, Processes + 04-14-2022 - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. - https://orcid.org/0000-0001-7564-7990 + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology Materials Science and Engineering Materials Science - 1.0.0 - - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London - RDF - 2007-10-25 - Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works 1.0 - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium RDF - 2015-07-03 + 2022-11-02 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy + 1.0 - - Atomistic - Atomistic Ontology (Atomistic) - An EMMO-based domain ontology for atomistic and electronic modelling. - Francesca L. Bleken, Jesper Friis + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-atomistic - Materials Science and Engineering - Materials Science - 0.0.2 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 - - GND - Gemeinsame Normdatei (GND) - GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. - Alexander Haffner - RDF - 2024-08-26 - Creative Commons 1.0 - https://d-nb.info/standards/elementset/gnd - Library and Cultural Heritage - Authority Files - 1.2.0 - - - NFDIcore - National Research Data Infrastructure Ontology (NFDIcore) - The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. - Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium OWL - 2025-02-07 - Creative Commons 1.0 - https://ise-fizkarlsruhe.github.io/nfdicore/ - Scholarly Knowledge - Research Data Infrastructure - 3.0.0 + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM + TTL + MIT License + https://github.com/Mat-O-Lab/MSEO + Materials Science and Engineering + Materials Science + + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + https://github.com/jesper-friis/emmo-microstructure Materials Science and Engineering - Manufacturing - 2.0 + Microstructure - - SWO - Software Ontology (SWO) - The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. - Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + + MassSpectrometry + Mass Spectrometry Ontology (MassSpectrometry) + A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. + Andreas Bertsch OWL - 2013-07-01 + 12:02:2025 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SWO - Scholarly Knowledge - Software - 1.0 + https://terminology.tib.eu/ts/ontologies/MS + Chemistry + Mass Spectrometry, Proteomics - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group TTL - Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + Materials Science and Engineering + Sensor Networks + 1.0 - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology Materials Science and Engineering Materials Science - 1.1 + 1.0.0 - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). - OWL - 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. - OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl - General Knowledge - Relations - 2024-04-24 + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 + Creative Commons 4.0 + https://vocab.org/aiiso/ + Scholarly Knowledge + Academic Institution + 1.0 - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl OWL - 2024-11-18 + 2015-02-23 Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology + https://terminology.tib.eu/ts/ontologies/SEPIO + Scholarly Knowledge + Scientific Evidence - - VIBSO - Vibrational Spectroscopy Ontology (VIBSO) - The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. - VIBSO Workgroup + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University OWL - 2024-09-23 - Creative Commons Attribution 4.0 - https://terminology.tib.eu/ts/ontologies/vibso - Chemistry - Spectroscopy - 2024-09-23 + Creative Commons 4.0 + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas OWL - 2024-03 + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik + TTL + 2019-09 Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) - RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ - Scholarly Knowledge - Data Catalogs - 3.0 + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO + Materials Science and Engineering + Materials Science - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center - TTL - 03/24/2024 + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo Materials Science and Engineering Materials Science - 0.3.0.0 + 1.0.0 - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi - RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social - 1.0 + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). - OWL - 2025-02-01 + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 - - GTS - Geologic Timescale model (GTS) - This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. - Simon J D Cox (simon.cox@csiro.au) of CSIRO - TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology - 1.0 + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/pldo + Materials Science and Engineering + Materials Defects + 1.0.0 - - MusicOntology - Music Ontology (MusicOntology) - The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. - Knowledge Media Institute, Open University + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith RDF - 2013/07/22 - Creative Commons 4.0 - https://github.com/motools/musicontology - Arts and Humanities - Music Theory - 2.1.5 + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium + TTL + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ Units and Measurements - 2.0.57 + Temporal Reasoning + 1.0 - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton - RDF - Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials + 0.1 - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. OWL + 2024-11-18 Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ - Materials Science and Engineering - Materials Science - 0.2 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology + + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors + OWL + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph DOLCE @@ -421,28 +479,126 @@ Upper Ontology Linguistics, Cognitive Science - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. + OWL + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 + + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + OWL + 2025-02-17 Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development + https://www.ontologyportal.org/ + Upper Ontology + 1.0 - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark + TTL + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics + Materials Science and Engineering + Materials Science + 0.0.1 + + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + OWL + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 + + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James + RDF + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software + + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) + OWL + 2022-08-02 + Creative Commons 4.0 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 + + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + 0.1 + + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi + OWL + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 + + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-atomistic Materials Science and Engineering Materials Science + 0.0.2 + + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California + OWL + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 FRBRoo @@ -456,42 +612,87 @@ Bibliographic Records 2.4 - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech + OWL + July 14, 2022 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 + + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton + RDF + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration + + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. TTL + May 24, 2023 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file Materials Science and Engineering Materials Science - 0.4.3 + 0.1.0 - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. OWL - 2019-02-17 + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 + + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. + TTL + 2015-11-10 Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + https://rdfs.co/juso/0.1.1/html Geography - Geographic Knowledge + geographical knowledge + 0.1.1 - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 - Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html - Education - Library, Museums, Archives - 2.5.0 + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + OWL + Creative Commons 4.0 + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development BBC @@ -506,65 +707,29 @@ News 1.37 - - OIECharacterisation - Open Innovation Environment Characterisation (OIECharacterisation) - EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. - Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - LPBFO - Laser Powder Bed Fusion Ontology (LPBFO) - The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. - Fraunhofer IWM + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. OWL - 2022-09-20 - Creative Commons 4.0 - https://matportal.org/ontologies/LPBFO - Materials Science and Engineering - Materials Science - 1.1.9 - - - NanoMine - NanoMine Ontology (NanoMine) - Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. - TTL - APACHE 2.0 - https://github.com/tetherless-world/nanomine-ontology - Materials Science and Engineering - Materials Science + 2016/04/30 + Creative Commons 3.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. + https://orcid.org/0000-0001-7564-7990 OWL - July 14, 2022 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET - Ecology and Environment - Earth Science, Geoscience - 3.6.0 - - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics - RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/ldo + Materials Science and Engineering + Materials Defects + 1.0.0 BFO @@ -579,28 +744,6 @@ Basic 2.0 - - ChMO - Chemical Methods Ontology (ChMO) - The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. - OWL - 2022-04-19 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rsc-cmo - Chemistry - - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing - Materials Science and Engineering - Mechanical Testing - 1.0.0 - SchemaOrg Schema.org Ontology (SchemaOrg) @@ -614,130 +757,89 @@ Web Development 28.1 - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media - Provenance - 1.9 - - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. OWL - 2024-07-01 - Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook - OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv Materials Science and Engineering - Periodic Table of Elements - 1.10 - - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis - TTL - 2013-05-01 - Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html - News and Media - Storyline - 0.3 + Materials Science + 1.0.0 - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology Materials Science and Engineering - Crystallography - 0.0.1 + Materials Science - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World - TTL - 2025-01-22 + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics - - - DublinCore - Dublin Core Vocabulary (DublinCore) - The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. - The Dublin Core Metadata Initiative - RDF - February 17, 2017 - Public Domain - https://bioportal.bioontology.org/ontologies/DC - General Knowledge - Metadata - 1.1 - - - BIO - BIO: A vocabulary for biographical information (BIO) - The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. - Ian Davis and David Galbraith - RDF - 2010-05-10 - Public Domain - https://vocab.org/bio/ - Social Sciences - Biographical Information - 0.1 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi - RDF - 19-04-2016 + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ + TTL + 2013/12/18 Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl - Scholarly Knowledge - Linguistics - 1.0 + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife + 1.1 + + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST + OWL + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO + Units and Measurements CCO @@ -751,327 +853,393 @@ General 2.0 - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute OWL - 2018-02-15 + April 26th, 2024 Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 + + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html Scholarly Knowledge Linguistics - 2018a + 3.0 - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 OWL - 2017-01-05 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco + Materials Science and Engineering + Materials Science + 1.0.0 + + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Materials Science + 4.0 + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 + + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. + Ahmad Zainul Ihsan + OWL + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM + Materials Science and Engineering + Materials Science 1.0 - - AS2 - Activity Streams 2.0 Ontology (AS2) - The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. - TTL - 23 May 2017 - W3C Document License - https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme - Social Sciences - Social - 2.0 + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + OWL + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 - - DOAP - The Description of a Project vocabulary (DOAP) - The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. - Edd Wilder-James + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + OWL + 2015-11-23 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 + + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho RDF - 2020-04-03 - Apache License 2.0 - https://github.com/ewilderj/doap/blob/master/schema/doap.rdf - Industry + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 + + + SWO + Software Ontology (SWO) + The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. + Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + OWL + 2013-07-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SWO + Scholarly Knowledge Software + 1.0 - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant RDF - 2025-03-01 + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 + + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk + TTL + 2012-12-01 Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master - Industry + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media Provenance - 1.0.0 + 1.9 - - YAGO - YAGO Ontology (YAGO) - YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. - Max Planck Institute for Informatics - TTL - April, 2024 + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp + RDF + 2025-02-21 Creative Commons 3.0 - https://yago-knowledge.org/downloads/yago-4-5 - General Knowledge - People, Cities, Countries, Movies, Organizations - 4.5 + http://www.productontology.org/ + Industry + 1.0 - - MOLBRINELL - MatoLab Brinell Test Ontology (MOL_BRINELL) - An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. - Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer TTL - 05/05/2022 - https://matportal.org/ontologies/MOL_BRINELL - Materials Science and Engineering - Materials Testing - 0.1 + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge + Materials Science - - BBCProgrammes - BBC Programmes Ontology (BBCProgrammes) - This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. - https://moustaki.org/foaf.rdf#moustaki - TTL - 2009/02/20 + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/programmes-ontology - News and Media - Programmes - 1.1 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Materials Science - 4.0 + 03/25/2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships - Knowledge Media Institute, Open University + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton OWL + 2018-02-16 Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home + https://github.com/SPAROntologies/cito/tree/master/docs/current Scholarly Knowledge - Computer Science - 3.4 + Scholarly Communication + 2.8.1 - - ASMO - Atomistic Simulation Methods Ontology (ASMO) - ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. - https://orcid.org/0000-0001-7564-7990 + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen + RDF + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 + + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. OWL + 2022-04-19 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rsc-cmo + Chemistry + + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo + https://matportal.org/ontologies/MOL_TENSILE Materials Science and Engineering - Materials Science - 1.0.0 + Materials Testings + 0.4 - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + + BBCBusiness + BBC Business News Ontology (BBCBusiness) + The Business News Ontology describes the concepts that occur in BBC business news. + https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html - Materials Science and Engineering - Materials Science - 2.0 + 2014-11-09 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/business-news-ontology + News and Media + Business News + 0.5 - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen + TTL + 2020-08-06 + Creative Commons 4.0 + https://github.com/alikucukavci/FSO/ Materials Science and Engineering Materials Science - 0.0.1 - - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho - RDF - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science 0.1.0 - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant - RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 - - - SAREF - Smart Applications REFerence ontology (SAREF) - The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). - ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) - RDF - 2020-12-31 - https://saref.etsi.org/core/v3.2.1/ - Web and Internet - interoperability - 3.2.1 - - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE OWL - Feb. 9, 2007 + 08 February 2022 Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 + https://www.ontologyportal.org/ + Chemistry + 1.0 - - OWLTime - Time Ontology in OWL (OWL-Time) - OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. - World Wide Web Consortium + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO TTL - 15 November 2022 - W3C Software Notice and Document License - https://www.w3.org/TR/owl-time/ - Units and Measurements - Temporal Reasoning + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology 1.0 - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission - RDF - 2023-10-19 - Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + OWL + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ Scholarly Knowledge - Research Information - 2.4 + Research Data Infrastructure + 3.0.0 - - DSIM - Dislocation Simulation and Model Ontology (DSIM) - Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. - Ahmad Zainul Ihsan + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry OWL - 17.08.2023 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://github.com/OCDO/DSIM - Materials Science and Engineering - Materials Science + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases + + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp + OWL + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce 1.0 - - OIEModels - Open Innovation Environment Models (OIEModels) - The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. - OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV - General Knowledge - General - 2013-04-30 + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics + RDF + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ - OWL - 2014-03-12 + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi + RDF + 19-04-2016 Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl Scholarly Knowledge - 1.3 - - - PO - Plant Ontology (PO) - The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. - OWL - Creative Commons 4.0 - https://github.com/Planteome/plant-ontology - Agriculture - Plant Anatomy, Morphology, Growth and Development + Linguistics + 1.0 - - BBCCreativeWork - BBC Creative Work Ontology (BBCCreativeWork) - This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). - LinkedData@bbc.co.uk + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/creative-work-ontology - News and Media - Creative Work - 1.19 - - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. - OWL - 01/01/2025 - Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ - Chemistry - Chemical Entities - 239 + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + Materials Science and Engineering + Materials Science TimelineOntology @@ -1086,101 +1254,102 @@ Music Theory 1.0 - - MOP - Molecular Process Ontology (MOP) - MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. - OWL - 2022-05-11 + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. + Knowledge Media Institute, Open University + RDF + 2013/07/22 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MOP - Chemistry - Chemistry, Molecular Biology - 2022-05-11 + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 - - FAIR - FAIR Vocabulary (FAIR) - This is the formal vocabulary (ontology) describing the FAIR principles. + + LPBFO + Laser Powder Bed Fusion Ontology (LPBFO) + The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. + Fraunhofer IWM OWL + 2022-09-20 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/FAIR - Upper Ontology - Data, Metadata - - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 - - - OIESoftware - Open Innovation Environment Software (OIESoftware) - EMMO-compliant, domain-level OIE ontology tackling the areas of software products. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - 0.1 - - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco + https://matportal.org/ontologies/LPBFO Materials Science and Engineering Materials Science - 1.0.0 + 1.1.9 - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. - Ahmad Zainul Ihsan - OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + + MAT + Material Properties Ontology (MAT) + The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. + María Poveda-Villalón, Serge Chávez-Feria + RDF + Creative Commons 4.0 + https://bimerr.iot.linkeddata.es/def/material-properties/ Materials Science and Engineering - Materials Science - 1.0 + Materials Properties + 0.0.8 - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. - OWL - 2021-10-26 + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + TTL + 2013-05-01 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 + + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo + OWL + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl Medicine - Enzyme - 2021-10-26 + Emotion - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. OWL - March 11, 2018 + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering + Scholarly Knowledge + + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + TTL + 2019-11-21 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO - Biology and Life Sciences - General Purpose - 1.0.17 + https://www.bbc.co.uk/ontologies/core-concepts-ontology + News and Media + Core Concepts + 1.30 + + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + TTL + 2025-03-01 + Creative Commons 1.0 + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + Materials Science and Engineering + Research Data, Interoperability + 3.0.0 DUO @@ -1193,103 +1362,53 @@ Scholarly Knowledge 1.0 - - IOF - Industrial Ontology Foundry (IOF) - The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. - IOF Core Working Group - RDF - 2020 - MIT - https://oagi.org/pages/Released-Ontologies - Industry - Manufacturing - 1.0 - - - SUMO - Suggested Upper Merged Ontology (SUMO) - The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> OWL - 2025-02-17 + 2018-02-15 Creative Commons 4.0 - https://www.ontologyportal.org/ - Upper Ontology - 1.0 - - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium - OWL - 2025-02-17 - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 - - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo - Materials Science and Engineering - Materials Defects - 1.0.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino OWL - 03/25/2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 - - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl Materials Science and Engineering - Materials Testings - 0.4 + Materials Science - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ OWL - 2017-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV - Chemistry - 1.1.0 + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ + Scholarly Knowledge + Workflows + 3.1 - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ OWL - 2025-01-09 + 2014-03-12 Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master - Medicine - Biomedical Investigations + https://vocab.linkeddata.es/p-plan/index.html + Scholarly Knowledge + 1.3 BioPAX @@ -1302,367 +1421,272 @@ Bioinformatics 1.0 - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Workflows - 4.0 - - - REX - Physico-chemical process ontology (REX) - REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. - University of Warsaw + + MOP + Molecular Process Ontology (MOP) + MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. OWL - 2025-03-11 + 2022-05-11 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/REX + https://terminology.tib.eu/ts/ontologies/MOP Chemistry - 1.0 - - - PTO - Product Types Ontology (PTO) - The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. - Martin Hepp - RDF - 2025-02-21 - Creative Commons 3.0 - http://www.productontology.org/ - Industry - 1.0 + Chemistry, Molecular Biology + 2022-05-11 - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography Materials Science and Engineering - Materials Science + Crystallography 0.0.1 - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission RDF - 2022-02-01 - Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ - Industry - Building Services - 0.3.0 - - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France - OWL - May 11, 2020 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 - - - Juso - Juso Ontology (Juso) - Juso Ontology is a Web vocabulary for describing geographical addresses and features. - James G. Kim, LiST Inc. - TTL - 2015-11-10 + 2023-10-19 Creative Commons 4.0 - https://rdfs.co/juso/0.1.1/html - Geography - geographical knowledge - 0.1.1 - - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. - RDF - Apache 2.0 - https://lexinfo.net/index.html + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio Scholarly Knowledge - Linguistics - 3.0 + Research Information + 2.4 - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni + + GND + Gemeinsame Normdatei (GND) + GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. + Alexander Haffner RDF - 15/09/2022 - Creative Commons 4.0 - https://schema.datacite.org/ - Scholarly Knowledge - Metadata - 3.1 + 2024-08-26 + Creative Commons 1.0 + https://d-nb.info/standards/elementset/gnd + Library and Cultural Heritage + Authority Files + 1.2.0 - - DEB - Devices, Experimental scaffolds and Biomaterials Ontology (DEB) - The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. - Osnat Hakimi + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober OWL - Jun 2, 2021 - GPL-3.0 - https://github.com/ProjectDebbie/Ontology_DEB - Medicine - Biomaterials - 06/2021 + 2017-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX + 2021-12-16 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rxno Chemistry - Chemicals, Properties - 2020-04-13 - - SEPIO - Scientific Evidence and Provenance Information Ontology (SEPIO) - The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/doco + Education + document components + 1.3 + + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. OWL - 2015-02-23 + 01/01/2025 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SEPIO - Scholarly Knowledge - Scientific Evidence + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works + 1.0 - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 Materials Science and Engineering - Materials Science + Manufacturing + 2.0 - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz + TTL + 2023-05-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/iassouroko/AMontology Materials Science and Engineering - Scholarly Knowledge + Manufacturing + 1.0 - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University - RDF - 2008-05-14 + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + OWL + 2025-01-16 Creative Commons 4.0 - https://vocab.org/aiiso/ - Scholarly Knowledge - Academic Institution - 1.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - OBOE - Extensible Observation Ontology (OBOE) - The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. - The Regents of the University of California + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). OWL - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/OBOE - Scholarly Knowledge - Scientific Observation - 1.2 + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo + Biology and Life Sciences + Biology + 3.75.0 - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center + + BBCProgrammes + BBC Programmes Ontology (BBCProgrammes) + This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. + https://moustaki.org/foaf.rdf#moustaki TTL - March 1, 2022 + 2009/02/20 Creative Commons 4.0 - https://qudt.org/ - Units and Measurements - Physics - 2.1 - - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + https://www.bbc.co.uk/ontologies/programmes-ontology + News and Media + Programmes + 1.1 - - MAT - Material Properties Ontology (MAT) - The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. - María Poveda-Villalón, Serge Chávez-Feria - RDF + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team + OWL Creative Commons 4.0 - https://bimerr.iot.linkeddata.es/def/material-properties/ - Materials Science and Engineering - Materials Properties - 0.0.8 - - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ Materials Science and Engineering - Materials + Materials Science + 0.2 - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts - RDF - 2024-Feb-27 - Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup + OWL + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso + Chemistry + Spectroscopy + 2024-09-23 - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz - RDF - 2024-01-30 - Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + OWL + 2021-01-02 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/VIMMP_ONTOLOGIES Materials Science and Engineering - Scholarly Knowledge - 1.0.1 + Materials Modeling - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file + Feb. 9, 2007 + Creative Commons 4.0 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ Biology and Life Sciences - Materials Science - 2013-05-31 - - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 + Domain Ontology + 1.3.1.1 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru - TTL - 2019-12-10 + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT + https://github.com/emmo-repo/domain-mechanical-testing Materials Science and Engineering - Materials - 0.1 + Mechanical Testing + 1.0.0 - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride - TTL - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology - News and Media - Sport - 3.2 + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. + OWL + Academic Free License (AFL) + https://expo.sourceforge.net/ + Scholarly Knowledge + Scientific Experiments - - CIFCore - Crystallographic Information Framework Core Dictionary (CIFCore) - (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa TTL - May 24, 2023 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html Materials Science and Engineering Materials Science - 0.1.0 + 2.0 - - CHIRO - CHEBI Integrated Role Ontology (CHIRO) - CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). OWL - 2015-11-23 - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/chiro - Chemistry - Chemicals, Roles - 2015-11-23 - - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway - RDF - 2018/02/28 - Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 BBCPolitics @@ -1677,78 +1701,65 @@ Politics 0.9 - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko - OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF - Chemistry - 2.1.0 - - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group OWL - 04-14-2022 - Creative Commons 4.0 - https://github.com/proco-ontology/PROCO - Chemistry - Chemicals, Processes - 04-14-2022 - - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara - RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM Materials Science and Engineering - Materials Science - 1.0.0 + Materials Science, Engineering, Systems - - FSO - Flow Systems Ontology (FSO) - The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. - Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen - TTL - 2020-08-06 - Creative Commons 4.0 - https://github.com/alikucukavci/FSO/ - Materials Science and Engineering - Materials Science - 0.1.0 + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics TTL - 2014/03/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 + April, 2024 + Creative Commons 3.0 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. OWL - 2024-11-03 + 2021-10-26 Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. + OWL + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata Metadata4Ing @@ -1763,471 +1774,460 @@ Materials Science 1.3.1 - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. - OWL - 2025-01-16 + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk + TTL + 2012-12-01 Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl - Agriculture - Diet, Metabolomics, and Nutrition - - - DOID - Human Disease Ontology (DOID) - The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. - The Open Biological and Biomedical Ontology Foundry - OWL - 2024-12-18 - Creative Commons 1.0 - http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl - Medicine - Human Diseases - - - OPMW - Open Provenance Model for Workflows (OPMW) - The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). - http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ - OWL - 2014-12-22 - Creative Commons Attribution 2.0 Generic (CC BY 2.0) - https://www.opmw.org/model/OPMW_20141222/ - Scholarly Knowledge - Workflows - 3.1 + https://www.bbc.co.uk/ontologies/creative-work-ontology + News and Media + Creative Work + 1.19 - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway RDF - 2022-01-30 + 2018/02/28 Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 - - MassSpectrometry - Mass Spectrometry Ontology (MassSpectrometry) - A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. - Andreas Bertsch + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France OWL - 12:02:2025 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MS - Chemistry - Mass Spectrometry, Proteomics - - - BBCBusiness - BBC Business News Ontology (BBCBusiness) - The Business News Ontology describes the concepts that occur in BBC business news. - https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed - TTL - 2014-11-09 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/business-news-ontology - News and Media - Business News - 0.5 - - - PRotein - Protein Ontology (PRO) - The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. - RDF - 08:08:2024 + May 11, 2020 Creative Commons 4.0 - http://purl.obolibrary.org/obo/pr.owl - Medicine - Protein - 1.2 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO - Chemistry - Laboratory Analytical Processes - 2024-06 + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS + Materials Science and Engineering + Materials Science + 0.3.0.0 - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. OWL - 24.09.2024 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam - General Knowledge - General - 1.25-20240924T0027Z-unstable(1.26) + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) OWL - 2018-02-16 + 2024-03 Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current - Scholarly Knowledge - Scholarly Communication - 2.8.1 - - - MSEO - Materials Science and Engineering Ontology (MSEO) - MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. - Thomas Hanke, Fraunhofer IWM - TTL - MIT License - https://github.com/Mat-O-Lab/MSEO + https://emmo-repo.github.io/ Materials Science and Engineering - Materials Science + Materials Modelling + 1.0.0-rc3 - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO - Materials Science and Engineering - Materials Science + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw + RDF + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 - - AgrO - Agronomy Ontology (AgrO) - An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. - The Crop Ontology Consortium + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group RDF - 2022-11-02 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGRO?p=summary - Agriculture - Agronomy + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing 1.0 - - PLDO - Planar Defects Ontology (PLDO) - PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/pldo - Materials Science and Engineering - Materials Defects - 1.0.0 + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo Materials Science and Engineering Materials Science + 1.0.0 - - SSN - Semantic Sensor Network Ontology (SSN) - The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. - W3C/OGC Spatial Data on the Web Working Group + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler TTL - 2017-04-17 - http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document - https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 - Materials Science and Engineering - Sensor Networks - 1.0 - - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute - OWL - April 26th, 2024 Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. OWL - 2023-05-25 - Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 - - EXPO - Ontology of Scientific Experiments (EXPO) - Formalise generic knowledge about scientific experimental design, methodology, and results representation. - OWL - Academic Free License (AFL) - https://expo.sourceforge.net/ - Scholarly Knowledge - Scientific Experiments + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google + RDF + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 - - IAO - Information Artifact Ontology (IAO) - The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/Battery-Value-Chain-Ontology/ontology + Materials Science and Engineering + Materials Science + 0.4.3 + + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. OWL - 2022-11-07 + 2023-10-19 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/IAO - General Knowledge - Information, Data, Knowledge + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation TTL - 2019-09 - Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 - - QUDV - Quantities, Units, Dimensions and Values (QUDV) - The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. - SysML + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko OWL - 2009-10-30 - Apache License 2.0 - https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl - Units and Measurements - 2009-10-30 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF + Chemistry + 2.1.0 - - AGROVOC - AGROVOC Multilingual Thesaurus (AGROVOC) - AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. - Food and Agriculture Organization of the United Nations + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller RDF - August 12, 2024 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGROVOC - Agriculture - Agricultural Knowledge - 2024-04 + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge - Materials Science - - - VIMMP - Virtual Materials Marketplace Ontologies (VIMMP) - The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera - OWL - 2021-01-02 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/VIMMP_ONTOLOGIES + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL Materials Science and Engineering - Materials Modeling + Materials Testing + 0.1 - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry + + DublinCore + Dublin Core Vocabulary (DublinCore) + The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. + The Dublin Core Metadata Initiative RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine + February 17, 2017 + Public Domain + https://bioportal.bioontology.org/ontologies/DC + General Knowledge + Metadata + 1.1 - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz - TTL - 2023-05-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology - Materials Science and Engineering - Manufacturing + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi + RDF + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social 1.0 - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook + OWL + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 + + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + OWL + 2025-01-09 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology - News and Media - Content Management Systems - 3.7 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations - - DBpedia - DBpedia Ontology (DBpedia) - The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. - DBpedia Maintainers and Contributors + + QUDV + Quantities, Units, Dimensions and Values (QUDV) + The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. + SysML OWL - 2008-11-17 - Creative Commons 3.0 - https://wiki.dbpedia.org/ + 2009-10-30 + Apache License 2.0 + https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl + Units and Measurements + 2009-10-30 + + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology General Knowledge - Knowledge Graph + Web Development + 1.50 - - MatWerk - NFDI MatWerk Ontology (MatWerk) - NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. - Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. TTL - 2025-03-01 - Creative Commons 1.0 - https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file - Materials Science and Engineering - Research Data, Interoperability - 3.0.0 - - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) - OWL - 2022-08-02 - Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology Materials Science and Engineering - Materials Design + Materials Science 1.1 - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 - TTL - 2024-04-12 + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology + https://github.com/OCDO/cmso/tree/main Materials Science and Engineering Materials Science - 1.0.0 + 0.0.1 - - MicroStructures - EMMO-based ontology for microstructures (MicroStructures) - This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) OWL - https://github.com/jesper-friis/emmo-microstructure + March 11, 2018 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 + + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center + TTL + March 1, 2022 + Creative Commons 4.0 + https://qudt.org/ + Units and Measurements + Physics + 2.1 + + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. + TTL + https://github.com/BIG-MAP/BattINFO Materials Science and Engineering - Microstructure + Materials Science - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. TTL - 2013/12/18 + 2014/03/18 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology + https://www.bbc.co.uk/ontologies/food-ontology News and Media - Wildlife - 1.1 + Food and Beverage + 0.1 - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 + 08:08:2024 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 - - Conference - Conference Ontology (Conference) - The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. - Aldo Gangemi et al. - OWL - 2016/04/30 + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant + RDF + 2013-05-24 Creative Commons 3.0 - http://www.scholarlydata.org/ontology/conference-ontology.owl - Events - Conferences + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann - OWL - 2025-03-20 + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier + TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file + https://github.com/General-Process-Ontology/ontology Materials Science and Engineering Materials Science - 3.0.0-alpha1 - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO + General Knowledge + Information, Data, Knowledge - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan OWL - 2021-12-16 + 2019-02-17 Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge + + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 + Creative Commons 4.0 + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 \ No newline at end of file From 1aed3ab351e287e0ba2e0145eb973752abeb80ce Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:32:45 +0200 Subject: [PATCH 24/50] :bookmark: Update metadata after release (#271) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3432 ++++++++++++++--------------- 1 file changed, 1716 insertions(+), 1716 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index 7f9daf2d..b1093893 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -7,249 +7,206 @@ MIT License 1.4.1 - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) - RDF - 2025-03-01 - Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master - Industry - Provenance - 1.0.0 + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation + TTL + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + TTL + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies + General Knowledge + General + 2.0 + + + GND + Gemeinsame Normdatei (GND) + GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. + Alexander Haffner RDF - 15/09/2022 - Creative Commons 4.0 - https://schema.datacite.org/ - Scholarly Knowledge - Metadata - 3.1 + 2024-08-26 + Creative Commons 1.0 + https://d-nb.info/standards/elementset/gnd + Library and Cultural Heritage + Authority Files + 1.2.0 - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier OWL - 24.09.2024 + 03/25/2024 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam - General Knowledge - General - 1.25-20240924T0027Z-unstable(1.26) + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Workflows - 4.0 + 2016/04/30 + Creative Commons 3.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis TTL - 2025-01-22 + 2013-05-01 Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics - - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 - Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html - Education - Library, Museums, Archives - 2.5.0 + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + OWL Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM - Units and Measurements - 2.0.57 - - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development - - REX - Physico-chemical process ontology (REX) - REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. - University of Warsaw + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. OWL - 2025-03-11 + 2025-01-09 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/REX - Chemistry - 1.0 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations - - AUTO - Automotive Ontology (AUTO) - The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. - EDM Council - RDF - 2021-03-01 - MIT - https://github.com/edmcouncil/auto/tree/master - Industry - Automotive + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + OWL + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France OWL - 04-14-2022 + May 11, 2020 Creative Commons 4.0 - https://github.com/proco-ontology/PROCO - Chemistry - Chemicals, Processes - 04-14-2022 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. - Ahmad Zainul Ihsan + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology - Materials Science and Engineering - Materials Science - 1.0 + 2022-04-19 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rsc-cmo + Chemistry - - AgrO - Agronomy Ontology (AgrO) - An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. - The Crop Ontology Consortium + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi RDF - 2022-11-02 + 19-04-2016 Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGRO?p=summary - Agriculture - Agronomy + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + Scholarly Knowledge + Linguistics 1.0 - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride - TTL + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + OWL + 16 April 2015 + http://www.biopax.org/ + Biology and Life Sciences + Bioinformatics + 1.0 + + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. + OWL Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology - News and Media - Sport - 3.2 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. OWL 2025-02-17 - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 - - - MSEO - Materials Science and Engineering Ontology (MSEO) - MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. - Thomas Hanke, Fraunhofer IWM - TTL - MIT License - https://github.com/Mat-O-Lab/MSEO - Materials Science and Engineering - Materials Science - - - OIECharacterisation - Open Innovation Environment Characterisation (OIECharacterisation) - EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. - Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - SAREF - Smart Applications REFerence ontology (SAREF) - The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). - ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) - RDF - 2020-12-31 - https://saref.etsi.org/core/v3.2.1/ - Web and Internet - interoperability - 3.2.1 + Creative Commons 4.0 + https://www.ontologyportal.org/ + Upper Ontology + 1.0 - - MicroStructures - EMMO-based ontology for microstructures (MicroStructures) - This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo OWL - https://github.com/jesper-friis/emmo-microstructure - Materials Science and Engineering - Microstructure - - - MassSpectrometry - Mass Spectrometry Ontology (MassSpectrometry) - A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. - Andreas Bertsch + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl + Medicine + Emotion + + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance OWL - 12:02:2025 + 04-14-2022 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MS + https://github.com/proco-ontology/PROCO Chemistry - Mass Spectrometry, Proteomics + Chemicals, Processes + 04-14-2022 SSN @@ -264,148 +221,216 @@ Sensor Networks 1.0 - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 - TTL - 2024-04-12 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology - Materials Science and Engineering - Materials Science + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 + Creative Commons 4.0 + https://github.com/perks-project/pk-ontology/tree/master + Industry + Provenance 1.0.0 - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen RDF - 2008-05-14 + 2022-02-01 Creative Commons 4.0 - https://vocab.org/aiiso/ - Scholarly Knowledge - Academic Institution - 1.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 - - SEPIO - Scientific Evidence and Provenance Information Ontology (SEPIO) - The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl - OWL - 2015-02-23 + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top + RDF + June 28, 2024 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SEPIO - Scholarly Knowledge - Scientific Evidence + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships - Knowledge Media Institute, Open University + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton OWL + 2018-02-16 Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home + https://github.com/SPAROntologies/cito/tree/master/docs/current Scholarly Knowledge + Scholarly Communication + 2.8.1 + + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw + RDF + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 + + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education Computer Science - 3.4 + 0.1.0 - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas - OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file - Biology and Life Sciences - Materials Science - 2013-05-31 + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google + RDF + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik - TTL - 2019-09 + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. + OWL + 2025-02-17 Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge + 1.0 - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. - OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz + TTL + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl Materials Science and Engineering Materials Science - - ASMO - Atomistic Simulation Methods Ontology (ASMO) - ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. - https://orcid.org/0000-0001-7564-7990 + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ + Scholarly Knowledge + Research Data Infrastructure + 3.0.0 + + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv Materials Science and Engineering Materials Science 1.0.0 - - OIEModels - Open Innovation Environment Models (OIEModels) - The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + https://github.com/BIG-MAP/BattINFO Materials Science and Engineering - Materials + Materials Science + + + Metadata4Ing + Metadata for Intelligent Engineering (Metadata4Ing) + The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. + Metadata4Ing Workgroup + TTL + 2025-03-10 + Creative Commons 4.0 + https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing + Scholarly Knowledge + Materials Science + 1.3.1 + + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 + Creative Commons 4.0 + https://vocab.org/aiiso/ + Scholarly Knowledge + Academic Institution + 1.0 + + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics + TTL + April, 2024 + Creative Commons 3.0 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + OWL + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ + Scholarly Knowledge + Workflows + 3.1 + + + BBCProgrammes + BBC Programmes Ontology (BBCProgrammes) + This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. + https://moustaki.org/foaf.rdf#moustaki TTL - 2012-12-01 + 2009/02/20 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology + https://www.bbc.co.uk/ontologies/programmes-ontology News and Media - Content Management Systems - 3.7 - - - PLDO - Planar Defects Ontology (PLDO) - PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/pldo - Materials Science and Engineering - Materials Defects - 1.0.0 + Programmes + 1.1 BIO @@ -420,111 +445,163 @@ Biographical Information 0.1 - - OWLTime - Time Ontology in OWL (OWL-Time) - OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. - World Wide Web Consortium - TTL - 15 November 2022 - W3C Software Notice and Document License - https://www.w3.org/TR/owl-time/ - Units and Measurements - Temporal Reasoning - 1.0 + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + OWL + 2021-10-26 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru - TTL - 2019-12-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT - Materials Science and Engineering - Materials - 0.1 + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + OWL + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University OWL - 2024-11-18 Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 - - DBpedia - DBpedia Ontology (DBpedia) - The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. - DBpedia Maintainers and Contributors + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California OWL - 2008-11-17 Creative Commons 3.0 - https://wiki.dbpedia.org/ - General Knowledge - Knowledge Graph + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 - - DOLCE - Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) - The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. - Laboratory for Applied Ontology, ISTC-CNR + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ OWL + 2014-03-12 Creative Commons 4.0 - https://www.loa.istc.cnr.it/index.php/dolce/ - Upper Ontology - Linguistics, Cognitive Science + https://vocab.linkeddata.es/p-plan/index.html + Scholarly Knowledge + 1.3 - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 + + + AUTO + Automotive Ontology (AUTO) + The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. + EDM Council + RDF + 2021-03-01 + MIT + https://github.com/edmcouncil/auto/tree/master + Industry + Automotive + + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX - Chemistry - Chemicals, Properties - 2020-04-13 + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 - - SUMO - Suggested Upper Merged Ontology (SUMO) - The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober OWL - 2025-02-17 + 2017-10-19 Creative Commons 4.0 - https://www.ontologyportal.org/ - Upper Ontology + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 + + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO + TTL + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology 1.0 - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development + + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Materials Science - 0.0.1 - - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) - OWL - 2024-07-01 + Materials + + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 DOAP @@ -538,44 +615,6 @@ Industry Software - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) - OWL - 2022-08-02 - Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ - Materials Science and Engineering - Materials Design - 1.1 - - - OIESoftware - Open Innovation Environment Software (OIESoftware) - EMMO-compliant, domain-level OIE ontology tackling the areas of software products. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - 0.1 - - - DEB - Devices, Experimental scaffolds and Biomaterials Ontology (DEB) - The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. - Osnat Hakimi - OWL - Jun 2, 2021 - GPL-3.0 - https://github.com/ProjectDebbie/Ontology_DEB - Medicine - Biomaterials - 06/2021 - Atomistic Atomistic Ontology (Atomistic) @@ -588,53 +627,80 @@ Materials Science 0.0.2 - - OBOE - Extensible Observation Ontology (OBOE) - The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. - The Regents of the University of California + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE OWL - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/OBOE - Scholarly Knowledge - Scientific Observation - 1.2 + 08 February 2022 + Creative Commons 4.0 + https://www.ontologyportal.org/ + Chemistry + 1.0 - - FRBRoo - Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) - The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. - RDF - November 2015 + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 Creative Commons 4.0 - https://ontome.net/namespace/6#summary + https://premon.fbk.eu/ontology/core# Scholarly Knowledge - Bibliographic Records - 2.4 + Linguistics + 2018a - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) + RDF + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 + + + MassSpectrometry + Mass Spectrometry Ontology (MassSpectrometry) + A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. + Andreas Bertsch OWL - July 14, 2022 + 12:02:2025 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET + https://terminology.tib.eu/ts/ontologies/MS + Chemistry + Mass Spectrometry, Proteomics + + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + OWL + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html Ecology and Environment - Earth Science, Geoscience - 3.6.0 + Environment, Ecosystems, Habitats + 2024-07-01 - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton - RDF + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen + TTL + 2020-08-06 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration + https://github.com/alikucukavci/FSO/ + Materials Science and Engineering + Materials Science + 0.1.0 CIFCore @@ -648,101 +714,18 @@ Materials Science 0.1.0 - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. - OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl - General Knowledge - Relations - 2024-04-24 - - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - Juso - Juso Ontology (Juso) - Juso Ontology is a Web vocabulary for describing geographical addresses and features. - James G. Kim, LiST Inc. - TTL - 2015-11-10 - Creative Commons 4.0 - https://rdfs.co/juso/0.1.1/html - Geography - geographical knowledge - 0.1.1 - - - PO - Plant Ontology (PO) - The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. - OWL - Creative Commons 4.0 - https://github.com/Planteome/plant-ontology - Agriculture - Plant Anatomy, Morphology, Growth and Development - - - BBC - BBC Ontology (BBC) - The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/bbc-ontology/ - News and Media - News - 1.37 - - - Conference - Conference Ontology (Conference) - The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. - Aldo Gangemi et al. - OWL - 2016/04/30 - Creative Commons 3.0 - http://www.scholarlydata.org/ontology/conference-ontology.owl - Events - Conferences - - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com OWL + 2013-07-01 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo - Materials Science and Engineering - Materials Defects - 1.0.0 - - - BFO - Basic Formal Ontology (BFO) - The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. - University at Buffalo - OWL - 2020 - Creative Commons 4.0 - https://github.com/BFO-ontology/BFO-2020/ - Upper Ontology - Basic - 2.0 + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Materials Science + 4.0 SchemaOrg @@ -757,163 +740,98 @@ Web Development 28.1 - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. - OWL - 2024-11-03 - Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics - - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara - RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv - Materials Science and Engineering - Materials Science - 1.0.0 - - - NanoMine - NanoMine Ontology (NanoMine) - Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer TTL - APACHE 2.0 - https://github.com/tetherless-world/nanomine-ontology - Materials Science and Engineering + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge Materials Science - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR OWL - 2017-01-05 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography - 1.0 + https://www.loa.istc.cnr.it/index.php/dolce/ + Upper Ontology + Linguistics, Cognitive Science - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team OWL - 2025-03-20 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Creative Commons 4.0 + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ Materials Science and Engineering Materials Science - 3.0.0-alpha1 + 0.2 - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier TTL - 2013/12/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology - News and Media - Wildlife - 1.1 - - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST - OWL - 2023-05-25 - Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/Battery-Value-Chain-Ontology/ontology + Materials Science and Engineering + Materials Science + 0.4.3 - - CCO - Common Core Ontologies (CCO) - The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa TTL - 2024-11-06 - BSD-3-Clause license - https://github.com/CommonCoreOntology/CommonCoreOntologies - General Knowledge - General + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + Materials Science and Engineering + Materials Science 2.0 - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute - OWL - April 26th, 2024 - Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 - - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton RDF - Apache 2.0 - https://lexinfo.net/index.html + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/frapo Scholarly Knowledge - Linguistics - 3.0 + Administration - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + TTL + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology Materials Science and Engineering Materials Science - 1.0.0 - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Materials Science - 4.0 - - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts - RDF - 2024-Feb-27 - Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 DSIM @@ -928,80 +846,99 @@ Materials Science 1.0 - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV - General Knowledge - General - 2013-04-30 + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 - - CHIRO - CHEBI Integrated Role Ontology (CHIRO) - CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). OWL - 2015-11-23 - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/chiro - Chemistry - Chemicals, Roles - 2015-11-23 + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science - 0.1.0 + https://github.com/OCDO/cmso/tree/main + Materials Science and Engineering + Materials Science + 0.0.1 - - SWO - Software Ontology (SWO) - The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. - Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 OWL - 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo + Materials Science and Engineering + Materials Science + 1.0.0 + + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni + RDF + 15/09/2022 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SWO + https://schema.datacite.org/ Scholarly Knowledge - Software - 1.0 + Metadata + 3.1 - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant - RDF - 2022-01-30 - Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo + Materials Science and Engineering + Materials Science + 1.0.0 - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media - Provenance - 1.9 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/General-Process-Ontology/ontology + Materials Science and Engineering + Materials Science PTO @@ -1015,18 +952,143 @@ Industry 1.0 - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup + OWL + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso + Chemistry + Spectroscopy + 2024-09-23 + + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas + OWL + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway + RDF + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 + + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge + 2014-01-06 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/politics-ontology + News and Media + Politics + 0.9 + + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/creative-work-ontology + News and Media + Creative Work + 1.19 + + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan + OWL + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + Materials Science and Engineering + Materials Science + 1.0 + + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz + TTL + 2023-05-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/iassouroko/AMontology + Materials Science and Engineering + Manufacturing + 1.0 + + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology + Materials Science and Engineering + Materials Science + 1.0.0 + + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + Materials Science and Engineering + Materials Science + + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO + Materials Science and Engineering Materials Science + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 + Creative Commons 4.0 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 + AGROVOC AGROVOC Multilingual Thesaurus (AGROVOC) @@ -1040,67 +1102,89 @@ Agricultural Knowledge 2024-04 - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier - OWL - 03/25/2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 - - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. OWL - 2018-02-16 - Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering Scholarly Knowledge - Scholarly Communication - 2.8.1 - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi RDF - 2022-02-01 + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social + 1.0 + + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. + RDF + November 2015 Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ - Industry - Building Services - 0.3.0 + https://ontome.net/namespace/6#summary + Scholarly Knowledge + Bibliographic Records + 2.4 - - ChMO - Chemical Methods Ontology (ChMO) - The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. + + DublinCore + Dublin Core Vocabulary (DublinCore) + The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. + The Dublin Core Metadata Initiative + RDF + February 17, 2017 + Public Domain + https://bioportal.bioontology.org/ontologies/DC + General Knowledge + Metadata + 1.1 + + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. OWL - 2022-04-19 + 01/01/2025 Creative Commons 4.0 - https://github.com/rsc-ontologies/rsc-cmo + https://www.ebi.ac.uk/chebi/ Chemistry + Chemical Entities + 239 - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann + OWL + 2025-03-20 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE + https://github.com/materialdigital/core-ontology?tab=readme-ov-file Materials Science and Engineering - Materials Testings - 0.4 + Materials Science + 3.0.0-alpha1 + + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center + TTL + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS + Materials Science and Engineering + Materials Science + 0.3.0.0 BBCBusiness @@ -1115,68 +1199,54 @@ Business News 0.5 - - FSO - Flow Systems Ontology (FSO) - The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. - Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen - TTL - 2020-08-06 - Creative Commons 4.0 - https://github.com/alikucukavci/FSO/ - Materials Science and Engineering - Materials Science - 0.1.0 - - - OntoKin - Chemical Kinetics Ontology (OntoKin) - OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. - IEEE + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium OWL - 08 February 2022 - Creative Commons 4.0 - https://www.ontologyportal.org/ - Chemistry - 1.0 + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 - - GTS - Geologic Timescale model (GTS) - This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. - Simon J D Cox (simon.cox@csiro.au) of CSIRO - TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology - 1.0 + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group + OWL + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + Materials Science and Engineering + Materials Science, Engineering, Systems - - NFDIcore - National Research Data Infrastructure Ontology (NFDIcore) - The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. - Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook OWL - 2025-02-07 - Creative Commons 1.0 - https://ise-fizkarlsruhe.github.io/nfdicore/ - Scholarly Knowledge - Research Data Infrastructure - 3.0.0 + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 - - DOID - Human Disease Ontology (DOID) - The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. - The Open Biological and Biomedical Ontology Foundry + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 OWL - 2024-12-18 - Creative Commons 1.0 - http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl - Medicine - Human Diseases + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/pldo + Materials Science and Engineering + Materials Defects + 1.0.0 GoodRelations @@ -1191,69 +1261,66 @@ E-commerce 1.0 - - AS2 - Activity Streams 2.0 Ontology (AS2) - The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler TTL - 23 May 2017 - W3C Document License - https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme - Social Sciences - Social - 2.0 - - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics - RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 - - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi - RDF - 19-04-2016 Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + https://github.com/snow0815/tribAIn Scholarly Knowledge - Linguistics - 1.0 - - ONTORULE - Ontology for the Steel Domain (ONTORULE) - This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. - Diego Daz + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant + RDF + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 + + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack TTL - 2010-05-31 - N/A - https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + 2025-03-01 + Creative Commons 1.0 + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file Materials Science and Engineering - Materials Science + Research Data, Interoperability + 3.0.0 - - TimelineOntology - Timeline Ontology (TimelineOntology) - The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. - Christopher Sutton, Yves Raimond, Matthias Mauch - RDF - 25th October 2007 - Creative Commons 1.0 - https://github.com/motools/timelineontology - Arts and Humanities - Music Theory + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw + OWL + 2025-03-11 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/REX + Chemistry 1.0 + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + OWL + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 + MusicOntology Music Ontology (MusicOntology) @@ -1267,6 +1334,167 @@ Music Theory 2.1.5 + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller + RDF + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 + + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 + + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark + TTL + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics + Materials Science and Engineering + Materials Science + 0.0.1 + + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute + OWL + April 26th, 2024 + Creative Commons 4.0 + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 + + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + TTL + 2019-11-21 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/core-concepts-ontology + News and Media + Core Concepts + 1.30 + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 + Creative Commons 4.0 + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 + + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 + + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group + RDF + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing + 1.0 + + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + OWL + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics + + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + OWL + 24.09.2024 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) + + + SWO + Software Ontology (SWO) + The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. + Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + OWL + 2013-07-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SWO + Scholarly Knowledge + Software + 1.0 + + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl + OWL + 2015-02-23 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SEPIO + Scholarly Knowledge + Scientific Evidence + LPBFO Laser Powder Bed Fusion Ontology (LPBFO) @@ -1280,377 +1508,361 @@ Materials Science 1.1.9 - - MAT - Material Properties Ontology (MAT) - The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. - María Poveda-Villalón, Serge Chávez-Feria - RDF + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. + TTL + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology + Materials Science and Engineering + Materials Science + 1.1 + + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 + + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). + OWL + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo + Biology and Life Sciences + Biology + 3.75.0 + + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + OWL + Feb. 9, 2007 Creative Commons 4.0 - https://bimerr.iot.linkeddata.es/def/material-properties/ - Materials Science and Engineering - Materials Properties - 0.0.8 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk TTL - 2013-05-01 + 2012-12-01 Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html + https://www.bbc.co.uk/ontologies/provenance-ontology News and Media - Storyline - 0.3 - - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo - OWL - Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion - - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl - Materials Science and Engineering - Scholarly Knowledge + Provenance + 1.9 - - BBCCoreConcepts - BBC Core Concepts Ontology (BBCCoreConcepts) - The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. - jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + + BBC + BBC Ontology (BBC) + The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. + LinkedData@bbc.co.uk TTL - 2019-11-21 + 2012-12-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/core-concepts-ontology + https://www.bbc.co.uk/ontologies/bbc-ontology/ News and Media - Core Concepts - 1.30 + News + 1.37 - - MatWerk - NFDI MatWerk Ontology (MatWerk) - NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. - Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2025-03-01 - Creative Commons 1.0 - https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Research Data, Interoperability - 3.0.0 - - - DUO - Data Use Ontology (DUO) - DUO is an ontology which represent data use conditions. - OWL - 2025-02-17 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/DUO/ - Scholarly Knowledge - 1.0 + Materials + 0.1 - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> - OWL - 2018-02-15 + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center + TTL + March 1, 2022 Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# - Scholarly Knowledge - Linguistics - 2018a - - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl - Materials Science and Engineering - Materials Science + https://qudt.org/ + Units and Measurements + Physics + 2.1 - - OPMW - Open Provenance Model for Workflows (OPMW) - The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). - http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. OWL - 2014-12-22 - Creative Commons Attribution 2.0 Generic (CC BY 2.0) - https://www.opmw.org/model/OPMW_20141222/ - Scholarly Knowledge - Workflows - 3.1 + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ - OWL - 2014-03-12 + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html - Scholarly Knowledge + http://www.sparontologies.net/ontologies/doco + Education + document components 1.3 - - BioPAX - Biological Pathways Exchange (BioPAX) - BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. OWL - 16 April 2015 - http://www.biopax.org/ - Biology and Life Sciences - Bioinformatics - 1.0 + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO + General Knowledge + Information, Data, Knowledge - - MOP - Molecular Process Ontology (MOP) - MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. OWL - 2022-05-11 + 2023-10-19 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MOP - Chemistry - Chemistry, Molecular Biology - 2022-05-11 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography + MIT License + https://github.com/Mat-O-Lab/MSEO Materials Science and Engineering - Crystallography - 0.0.1 + Materials Science - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission - RDF - 2023-10-19 + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) + OWL + 2022-08-02 Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio - Scholarly Knowledge - Research Information - 2.4 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 - - GND - Gemeinsame Normdatei (GND) - GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. - Alexander Haffner - RDF - 2024-08-26 - Creative Commons 1.0 - https://d-nb.info/standards/elementset/gnd - Library and Cultural Heritage - Authority Files - 1.2.0 + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography + Materials Science and Engineering + Crystallography + 0.0.1 - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko OWL - 2017-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF Chemistry - 1.1.0 + 2.1.0 - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. - OWL - 2021-12-16 + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ + TTL + 2013/12/18 Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife + 1.1 - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni + + MAT + Material Properties Ontology (MAT) + The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. + María Poveda-Villalón, Serge Chávez-Feria RDF - 2015-07-03 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 + https://bimerr.iot.linkeddata.es/def/material-properties/ + Materials Science and Engineering + Materials Properties + 0.0.8 - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. - OWL - 01/01/2025 + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World + TTL + 2025-01-22 Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ - Chemistry - Chemical Entities - 239 + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium RDF - 2007-10-25 - Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works + 2022-11-02 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy 1.0 - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University - OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 - Materials Science and Engineering - Manufacturing - 2.0 + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant + RDF + 2013-05-24 + Creative Commons 3.0 + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz - TTL - 2023-05-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology - Materials Science and Engineering - Manufacturing - 1.0 + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics + RDF + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + + MOP + Molecular Process Ontology (MOP) + MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. OWL - 2025-01-16 + 2022-05-11 Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl - Agriculture - Diet, Metabolomics, and Nutrition + https://terminology.tib.eu/ts/ontologies/MOP + Chemistry + Chemistry, Molecular Biology + 2022-05-11 - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan OWL - 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 + 2019-02-17 + Creative Commons 4.0 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge - - BBCProgrammes - BBC Programmes Ontology (BBCProgrammes) - This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. - https://moustaki.org/foaf.rdf#moustaki + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik TTL - 2009/02/20 + 2019-09 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/programmes-ontology - News and Media - Programmes - 1.1 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) OWL + March 11, 2018 Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ - Materials Science and Engineering - Materials Science - 0.2 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 - - VIBSO - Vibrational Spectroscopy Ontology (VIBSO) - The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. - VIBSO Workgroup + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech OWL - 2024-09-23 - Creative Commons Attribution 4.0 - https://terminology.tib.eu/ts/ontologies/vibso - Chemistry - Spectroscopy - 2024-09-23 + July 14, 2022 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 - - VIMMP - Virtual Materials Marketplace Ontologies (VIMMP) - The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera - OWL - 2021-01-02 + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/VIMMP_ONTOLOGIES + https://matportal.org/ontologies/BUILDMAT Materials Science and Engineering - Materials Modeling - - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor - OWL - Feb. 9, 2007 - Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 + Materials + 0.1 - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing + https://github.com/OCDO/cdco Materials Science and Engineering - Mechanical Testing + Materials Science 1.0.0 @@ -1663,338 +1875,231 @@ Scholarly Knowledge Scientific Experiments - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa - TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html - Materials Science and Engineering - Materials Science - 2.0 - - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) OWL - 2025-02-01 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 - - - BBCPolitics - BBC Politics News Ontology (BBCPolitics) - The Politics Ontology describes the concepts that occur in BBC politics news. - https://www.r4isstatic.com/ - TTL - 2014-01-06 + 2024-03 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/politics-ontology - News and Media - Politics - 0.9 - - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group - OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + https://emmo-repo.github.io/ Materials Science and Engineering - Materials Science, Engineering, Systems - - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) - RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ - Scholarly Knowledge - Data Catalogs - 3.0 - - - YAGO - YAGO Ontology (YAGO) - YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. - Max Planck Institute for Informatics - TTL - April, 2024 - Creative Commons 3.0 - https://yago-knowledge.org/downloads/yago-4-5 - General Knowledge - People, Cities, Countries, Movies, Organizations - 4.5 + Materials Modelling + 1.0.0-rc3 - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM OWL - 2021-10-26 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO - Medicine - Enzyme - 2021-10-26 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing + Materials Science and Engineering + Mechanical Testing + 1.0.0 - - FAIR - FAIR Vocabulary (FAIR) - This is the formal vocabulary (ontology) describing the FAIR principles. + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. OWL - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/FAIR - Upper Ontology - Data, Metadata - - - Metadata4Ing - Metadata for Intelligent Engineering (Metadata4Ing) - The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. - Metadata4Ing Workgroup - TTL - 2025-03-10 - Creative Commons 4.0 - https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing - Scholarly Knowledge - Materials Science - 1.3.1 - - - BBCCreativeWork - BBC Creative Work Ontology (BBCCreativeWork) - This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/creative-work-ontology - News and Media - Creative Work - 1.19 - - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway - RDF - 2018/02/28 - Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 + 2015-11-23 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University OWL - May 11, 2020 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + Materials Science and Engineering + Manufacturing + 2.0 - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium TTL - 03/24/2024 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS - Materials Science and Engineering - Materials Science - 0.3.0.0 + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ + Units and Measurements + Temporal Reasoning + 1.0 - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. OWL - 2024-03 + 2024-11-18 Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw - RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + OWL + 2021-12-16 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rxno + Chemistry - - IOF - Industrial Ontology Foundry (IOF) - The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. - IOF Core Working Group - RDF + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo + OWL 2020 - MIT - https://oagi.org/pages/Released-Ontologies - Industry - Manufacturing - 1.0 + Creative Commons 4.0 + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. - https://orcid.org/0000-0001-7564-7990 + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo - Materials Science and Engineering - Materials Science - 1.0.0 + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. TTL + 2015-11-10 Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge - - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. - OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 + https://rdfs.co/juso/0.1.1/html + Geography + geographical knowledge + 0.1.1 - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory + 1.0 - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Materials Science - 0.4.3 + Materials - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. - OWL - 2023-10-19 + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT - Medicine - Cancer, Oncology - 24.04e + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO - Chemistry - Laboratory Analytical Processes - 2024-06 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + RDF + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works + 1.0 + + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF - Chemistry - 2.1.0 + https://github.com/jesper-friis/emmo-microstructure + Materials Science and Engineering + Microstructure - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller - RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. + OWL + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 MOLBRINELL @@ -2008,53 +2113,52 @@ Materials Testing 0.1 - - DublinCore - Dublin Core Vocabulary (DublinCore) - The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. - The Dublin Core Metadata Initiative - RDF - February 17, 2017 - Public Domain - https://bioportal.bioontology.org/ontologies/DC - General Knowledge - Metadata - 1.1 - - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi - RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social - 1.0 + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + TTL + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ + 2021-01-02 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/VIMMP_ONTOLOGIES Materials Science and Engineering - Periodic Table of Elements - 1.10 + Materials Modeling - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. - OWL - 2025-01-09 + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html + Scholarly Knowledge + Linguistics + 3.0 + + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. + TTL + 2014/03/18 Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master - Medicine - Biomedical Investigations + https://www.bbc.co.uk/ontologies/food-ontology + News and Media + Food and Beverage + 0.1 QUDV @@ -2068,86 +2172,28 @@ Units and Measurements 2009-10-30 - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 - - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. - TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology - Materials Science and Engineering - Materials Science - 1.1 - - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. https://orcid.org/0000-0001-7564-7990 OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main + https://github.com/OCDO/ldo Materials Science and Engineering - Materials Science - 0.0.1 + Materials Defects + 1.0.0 - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST OWL - March 11, 2018 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO - Biology and Life Sciences - General Purpose - 1.0.17 - - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center - TTL - March 1, 2022 - Creative Commons 4.0 - https://qudt.org/ + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO Units and Measurements - Physics - 2.1 - - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO - Materials Science and Engineering - Materials Science - - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. - TTL - 2014/03/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 PRotein @@ -2161,73 +2207,27 @@ Protein 1.2 - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant - RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + TTL + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology - Materials Science and Engineering - Materials Science - - - IAO - Information Artifact Ontology (IAO) - The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. - OWL - 2022-11-07 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/IAO - General Knowledge - Information, Data, Knowledge - - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry - RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine - - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan - OWL - 2019-02-17 - Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl - Geography - Geographic Knowledge - - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz - RDF - 2024-01-30 - Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Scholarly Knowledge - 1.0.1 + Materials \ No newline at end of file From 62716f6fd4998f2febc8d68d395b70834e30a791 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 24 Aug 2025 19:34:46 +0200 Subject: [PATCH 25/50] :pencil2: fix auto delete --- .github/workflows/python-publish.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 2cf01553..a74493b5 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -68,9 +68,9 @@ jobs: - name: Delete auto-update branch if: steps.cpr.outputs.pull-request-operation == 'created' - run: git push origin --delete auto-update - env: - GITHUB_TOKEN: ${{ secrets.REPO_PUSH_TOKEN }} + run: | + git remote set-url origin https://x-access-token:${{ secrets.REPO_PUSH_TOKEN }}@github.com/${{ github.repository }} + git push origin --delete auto-update - name: Configure Poetry for PyPI run: | From 0514a8277b0a62b5ef46e28d547b143cf9509938 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Mon, 1 Sep 2025 11:33:30 +0200 Subject: [PATCH 26/50] :pencil2: update maintenance plan --- MAINTENANCE.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/MAINTENANCE.md b/MAINTENANCE.md index edec0b13..88098243 100644 --- a/MAINTENANCE.md +++ b/MAINTENANCE.md @@ -25,16 +25,17 @@ A core team will be responsible for the ongoing maintenance of OntoLearner, incl A roadmap for new features and improvements, ensuring the library evolves in response to user needs and feedback is presented as follows. This list will be updated regularly as we explore the variety of works within the ontology alignment field to ensure the diverse methods within the library. -| Category | Description | Status | -|:-----------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------:| -|Ontologizer| Adding more ontologies to the OntoLearner | InProgress| -| Reasoning | Integration of reasoning-oriented prompt evaluation tasks to test LLM capabilities in generating consistent and logically valid ontological structures (e.g., subclass chains, disjointness, transitivity). | TODO | -| Agentic | Support for agent-based extensions using platforms like [CrewAI](https://github.com/crewAIInc/crewAI) to enable autonomous, multi-step ontology engineering workflows coordinated through modular agents. | TODO | -|Documentation| Adding more documentation and tutorials | InProgress| -|Testing| Adding unittest to support different stages of modularization | InProgress| -|Learner| Incorporating more learner models. Including those from LLMs4OL challenge | InProgress| -|Reasoning| Adding reasoning techniques | To-Do| -|...| ... |...| +| Category | Description | Status | +|-----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------| +| Ontologizer | Adding more ontologies to the OntoLearner | In Progress | +| Reasoning | Integration of reasoning-oriented prompt evaluation tasks to test LLM capabilities in generating consistent and logically valid ontological structures (e.g., subclass chains, disjointness, transitivity). | TODO | +| Ontology Search | Enabling search across relations, individuals, and axioms for enhanced exploration and debugging of ontologies. | TODO | +| Agentic | Support for agent-based extensions using platforms like [CrewAI](https://github.com/crewAIInc/crewAI) to enable autonomous, multi-step ontology engineering workflows coordinated through modular agents. | TODO | +| Documentation | Adding more documentation and tutorials | In Progress | +| Testing | Adding unittest to support different stages of modularization | In Progress | +| Learner | Incorporating more learner models, including those from the LLMs4OL 2024 challenge (to be put into action) and 2025 challenge (to be integrated). | In Progress | +| UI / Visualization | Developing user interfaces for interactive exploration and visualization of ontologies. | TODO | +| ...| ....|...| > **If you are willing to have your Ontology Learning model or feature within OntoLearner don't hesitate to contact us via [GitHub Issues](https://github.com/sciknoworg/ontolearner/issues) or via email to [hamed.babaei@tib.eu](mailto:hamed.babaei@tib.eu)**. From 86e2766b9380f6f615f33fa37cff2590556b4e3a Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Mon, 1 Sep 2025 11:34:21 +0200 Subject: [PATCH 27/50] :sparkles: update requirements --- pyproject.toml | 6 +++--- requirements.txt | 6 +++--- setup.py | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 70473d29..b2cf26b5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,9 +24,9 @@ pathlib="1.0.1" dspy="2.6.14" python-dotenv="*" huggingface-hub="0.31.1" -transformers="4.51.3" -torch="2.6.0" -sentence-transformers="4.1.0" +transformers="4.56.0" +torch="2.8.0" +sentence-transformers="5.1.0" scikit-learn="1.6.1" bitsandbytes="0.45.1" diff --git a/requirements.txt b/requirements.txt index c70d4297..bda4eeff 100644 --- a/requirements.txt +++ b/requirements.txt @@ -14,8 +14,8 @@ pathlib~=1.0.1 dspy~=2.6.14 setuptools~=78.1.0 huggingface-hub~=0.31.1 -transformers~=4.51.3 -torch~=2.6.0 -sentence-transformers~=4.1.0 +transformers~=4.56.0 +torch~=2.8.0 +sentence-transformers~=5.1.0 scikit-learn~=1.6.1 bitsandbytes~=0.45.1 diff --git a/setup.py b/setup.py index 0a4bb0c8..e0a7aca1 100644 --- a/setup.py +++ b/setup.py @@ -28,9 +28,9 @@ "pathlib==1.0.1", "dspy==2.6.14", "huggingface-hub==0.31.1", - "transformers==4.51.3", - "torch==2.6.0", - "sentence-transformers==4.1.0", + "transformers==4.56.0", + "torch==2.8.0", + "sentence-transformers==5.1.0", "scikit-learn==1.6.1", "bitsandbytes==0.45.1", ], From 4e543ab86da4416fd547c8cb09bbd9b8688a09d0 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Mon, 1 Sep 2025 11:35:55 +0200 Subject: [PATCH 28/50] :bookmark: v1.4.2 --- CHANGELOG.md | 5 ++++- CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 8be423f1..2e4c6bf3 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,7 +1,10 @@ ## Changelog +### v1.4.2 (September 1, 2025) +- fix dependency issue for torch and transformers. +- update maintenance plan -### v1.4.0 (August 22, 2025) +### v1.4.1 (August 22, 2025) - added ontolearner-metadata CI/CD based build. ### v1.4.0 (August 22, 2025) diff --git a/CITATION.cff b/CITATION.cff index 5acdb65d..6b237525 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.4.1 +version: 1.4.2 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 347f5833..9df886c4 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.4.1 +1.4.2 From f0a4326f60ef8ca46b4a099e0057f07f4320168f Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Mon, 1 Sep 2025 11:41:32 +0200 Subject: [PATCH 29/50] :pencil2: update requirements --- pyproject.toml | 2 +- requirements.txt | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index b2cf26b5..5a78eeaa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ pydantic="2.11.3" pathlib="1.0.1" dspy="2.6.14" python-dotenv="*" -huggingface-hub="0.31.1" +huggingface-hub="0.34.4" transformers="4.56.0" torch="2.8.0" sentence-transformers="5.1.0" diff --git a/requirements.txt b/requirements.txt index bda4eeff..2d3e66e7 100644 --- a/requirements.txt +++ b/requirements.txt @@ -13,7 +13,7 @@ docutils~=0.21.2 pathlib~=1.0.1 dspy~=2.6.14 setuptools~=78.1.0 -huggingface-hub~=0.31.1 +huggingface-hub~=0.34.4 transformers~=4.56.0 torch~=2.8.0 sentence-transformers~=5.1.0 diff --git a/setup.py b/setup.py index e0a7aca1..fc466370 100644 --- a/setup.py +++ b/setup.py @@ -27,7 +27,7 @@ "pydantic==2.11.3", "pathlib==1.0.1", "dspy==2.6.14", - "huggingface-hub==0.31.1", + "huggingface-hub==0.34.4", "transformers==4.56.0", "torch==2.8.0", "sentence-transformers==5.1.0", From 04459264a17a367f3bcf88c350d786aa73b5122c Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Mon, 1 Sep 2025 11:40:45 +0200 Subject: [PATCH 30/50] :bookmark: Update metadata after release (#272) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3560 ++++++++++++++--------------- 1 file changed, 1780 insertions(+), 1780 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index b1093893..850bd730 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -5,32 +5,68 @@ This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. OntoLearner Team MIT License - 1.4.1 + 1.4.2 - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation - TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO - Chemistry - Laboratory Analytical Processes - 2024-06 + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cmso/tree/main + Materials Science and Engineering + Materials Science + 0.0.1 - - CCO - Common Core Ontologies (CCO) - The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development + + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute + OWL + April 26th, 2024 + Creative Commons 4.0 + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 + + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) + OWL + March 11, 2018 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 + + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. TTL - 2024-11-06 - BSD-3-Clause license - https://github.com/CommonCoreOntology/CommonCoreOntologies - General Knowledge - General - 2.0 + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology + Materials Science and Engineering + Materials Science + 1.1 GND @@ -45,89 +81,43 @@ Authority Files 1.2.0 - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier - OWL - 03/25/2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 - - - Conference - Conference Ontology (Conference) - The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. - Aldo Gangemi et al. + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 OWL - 2016/04/30 - Creative Commons 3.0 - http://www.scholarlydata.org/ontology/conference-ontology.owl - Events - Conferences - - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis - TTL - 2013-05-01 - Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html - News and Media - Storyline - 0.3 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/pldo + Materials Science and Engineering + Materials Defects + 1.0.0 - - PO - Plant Ontology (PO) - The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann OWL - Creative Commons 4.0 - https://github.com/Planteome/plant-ontology - Agriculture - Plant Anatomy, Morphology, Growth and Development + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. - OWL - 2025-01-09 + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master - Medicine - Biomedical Investigations - - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. - OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl + https://semanticarts.com/gist General Knowledge - Relations - 2024-04-24 - - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France - OWL - May 11, 2020 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 + Upper Ontology + 12.1.0 ChMO @@ -139,395 +129,56 @@ https://github.com/rsc-ontologies/rsc-cmo Chemistry - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi - RDF - 19-04-2016 - Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl - Scholarly Knowledge - Linguistics - 1.0 + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials + 0.1 - - BioPAX - Biological Pathways Exchange (BioPAX) - BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com OWL - 16 April 2015 - http://www.biopax.org/ - Biology and Life Sciences - Bioinformatics - 1.0 + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Materials Science + 4.0 - - FAIR - FAIR Vocabulary (FAIR) - This is the formal vocabulary (ontology) describing the FAIR principles. - OWL + + MAT + Material Properties Ontology (MAT) + The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. + María Poveda-Villalón, Serge Chávez-Feria + RDF Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/FAIR - Upper Ontology - Data, Metadata + https://bimerr.iot.linkeddata.es/def/material-properties/ + Materials Science and Engineering + Materials Properties + 0.0.8 - - SUMO - Suggested Upper Merged Ontology (SUMO) - The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. - OWL - 2025-02-17 - Creative Commons 4.0 - https://www.ontologyportal.org/ - Upper Ontology - 1.0 - - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo - OWL - Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion - - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance - OWL - 04-14-2022 - Creative Commons 4.0 - https://github.com/proco-ontology/PROCO - Chemistry - Chemicals, Processes - 04-14-2022 - - - SSN - Semantic Sensor Network Ontology (SSN) - The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. - W3C/OGC Spatial Data on the Web Working Group + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack TTL - 2017-04-17 - http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document - https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 - Materials Science and Engineering - Sensor Networks - 1.0 - - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) - RDF 2025-03-01 - Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master - Industry - Provenance - 1.0.0 - - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen - RDF - 2022-02-01 - Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ - Industry - Building Services - 0.3.0 - - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM - Units and Measurements - 2.0.57 - - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton - OWL - 2018-02-16 - Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current - Scholarly Knowledge - Scholarly Communication - 2.8.1 - - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw - RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 - - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho - RDF - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science - 0.1.0 - - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google - RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 - - - DUO - Data Use Ontology (DUO) - DUO is an ontology which represent data use conditions. - OWL - 2025-02-17 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/DUO/ - Scholarly Knowledge - 1.0 - - - ONTORULE - Ontology for the Steel Domain (ONTORULE) - This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. - Diego Daz - TTL - 2010-05-31 - N/A - https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl - Materials Science and Engineering - Materials Science - - - NFDIcore - National Research Data Infrastructure Ontology (NFDIcore) - The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. - Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack - OWL - 2025-02-07 Creative Commons 1.0 - https://ise-fizkarlsruhe.github.io/nfdicore/ - Scholarly Knowledge - Research Data Infrastructure - 3.0.0 - - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara - RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv - Materials Science and Engineering - Materials Science - 1.0.0 - - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO - Materials Science and Engineering - Materials Science - - - Metadata4Ing - Metadata for Intelligent Engineering (Metadata4Ing) - The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. - Metadata4Ing Workgroup - TTL - 2025-03-10 - Creative Commons 4.0 - https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing - Scholarly Knowledge - Materials Science - 1.3.1 - - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University - RDF - 2008-05-14 - Creative Commons 4.0 - https://vocab.org/aiiso/ - Scholarly Knowledge - Academic Institution - 1.0 - - - YAGO - YAGO Ontology (YAGO) - YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. - Max Planck Institute for Informatics - TTL - April, 2024 - Creative Commons 3.0 - https://yago-knowledge.org/downloads/yago-4-5 - General Knowledge - People, Cities, Countries, Movies, Organizations - 4.5 - - - OPMW - Open Provenance Model for Workflows (OPMW) - The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). - http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ - OWL - 2014-12-22 - Creative Commons Attribution 2.0 Generic (CC BY 2.0) - https://www.opmw.org/model/OPMW_20141222/ - Scholarly Knowledge - Workflows - 3.1 - - - BBCProgrammes - BBC Programmes Ontology (BBCProgrammes) - This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. - https://moustaki.org/foaf.rdf#moustaki - TTL - 2009/02/20 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/programmes-ontology - News and Media - Programmes - 1.1 - - - BIO - BIO: A vocabulary for biographical information (BIO) - The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. - Ian Davis and David Galbraith - RDF - 2010-05-10 - Public Domain - https://vocab.org/bio/ - Social Sciences - Biographical Information - 0.1 - - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. - OWL - 2021-10-26 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO - Medicine - Enzyme - 2021-10-26 - - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. - OWL - 2025-01-16 - Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl - Agriculture - Diet, Metabolomics, and Nutrition - - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships - Knowledge Media Institute, Open University - OWL - Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home - Scholarly Knowledge - Computer Science - 3.4 - - - OBOE - Extensible Observation Ontology (OBOE) - The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. - The Regents of the University of California - OWL - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/OBOE - Scholarly Knowledge - Scientific Observation - 1.2 - - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ - OWL - 2014-03-12 - Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html - Scholarly Knowledge - 1.3 - - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file Materials Science and Engineering - Materials Testings - 0.4 - - - AUTO - Automotive Ontology (AUTO) - The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. - EDM Council - RDF - 2021-03-01 - MIT - https://github.com/edmcouncil/auto/tree/master - Industry - Automotive + Research Data, Interoperability + 3.0.0 DEB @@ -542,90 +193,105 @@ Biomaterials 06/2021 - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober - OWL - 2017-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation + TTL + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO Chemistry - 1.1.0 + Laboratory Analytical Processes + 2024-06 - - GTS - Geologic Timescale model (GTS) - This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. - Simon J D Cox (simon.cox@csiro.au) of CSIRO + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology - 1.0 - - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 - Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge + Materials Science - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media + Provenance + 1.9 - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + OWL + 2015-11-23 Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html - Education - Library, Museums, Archives - 2.5.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 - - DOAP - The Description of a Project vocabulary (DOAP) - The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. - Edd Wilder-James + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi RDF - 2020-04-03 - Apache License 2.0 - https://github.com/ewilderj/doap/blob/master/schema/doap.rdf - Industry - Software + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social + 1.0 + + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 + + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway + RDF + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 - - Atomistic - Atomistic Ontology (Atomistic) - An EMMO-based domain ontology for atomistic and electronic modelling. - Francesca L. Bleken, Jesper Friis + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-atomistic + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Materials Science - 0.0.2 + Materials + 0.1 OntoKin @@ -639,93 +305,78 @@ Chemistry 1.0 - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> - OWL - 2018-02-15 + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# + https://vocab.org/aiiso/ Scholarly Knowledge - Linguistics - 2018a - - - SAREF - Smart Applications REFerence ontology (SAREF) - The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). - ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) - RDF - 2020-12-31 - https://saref.etsi.org/core/v3.2.1/ - Web and Internet - interoperability - 3.2.1 + Academic Institution + 1.0 - - MassSpectrometry - Mass Spectrometry Ontology (MassSpectrometry) - A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. - Andreas Bertsch + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko OWL - 12:02:2025 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MS + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF Chemistry - Mass Spectrometry, Proteomics + 2.1.0 - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team OWL - 2024-07-01 - Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 - - - FSO - Flow Systems Ontology (FSO) - The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. - Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen - TTL - 2020-08-06 Creative Commons 4.0 - https://github.com/alikucukavci/FSO/ + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ Materials Science and Engineering Materials Science - 0.1.0 + 0.2 - - CIFCore - Crystallographic Information Framework Core Dictionary (CIFCore) - (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. - TTL - May 24, 2023 + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + OWL + 2021-01-02 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + https://matportal.org/ontologies/VIMMP_ONTOLOGIES Materials Science and Engineering - Materials Science - 0.1.0 + Materials Modeling - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant + RDF + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 + + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Materials Science - 4.0 + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 SchemaOrg @@ -740,218 +391,155 @@ Web Development 28.1 - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge - Materials Science + 2023-05-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/iassouroko/AMontology + Materials Science and Engineering + Manufacturing + 1.0 - - DOLCE - Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) - The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. - Laboratory for Applied Ontology, ISTC-CNR + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. OWL + 2025-02-17 Creative Commons 4.0 - https://www.loa.istc.cnr.it/index.php/dolce/ + https://www.ontologyportal.org/ Upper Ontology - Linguistics, Cognitive Science - - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team - OWL - Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ - Materials Science and Engineering - Materials Science - 0.2 - - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology - Materials Science and Engineering - Materials Science - 0.4.3 + 1.0 - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html - Materials Science and Engineering - Materials Science - 2.0 - - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton - RDF + 2025-01-22 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics - - NanoMine - NanoMine Ontology (NanoMine) - Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. - TTL - APACHE 2.0 - https://github.com/tetherless-world/nanomine-ontology - Materials Science and Engineering - Materials Science + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. + TTL + 2015-11-10 + Creative Commons 4.0 + https://rdfs.co/juso/0.1.1/html + Geography + geographical knowledge + 0.1.1 - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 + 2014-01-06 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/politics-ontology + News and Media + Politics + 0.9 - - DSIM - Dislocation Simulation and Model Ontology (DSIM) - Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. - Ahmad Zainul Ihsan - OWL - 17.08.2023 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://github.com/OCDO/DSIM - Materials Science and Engineering - Materials Science + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium + TTL + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ + Units and Measurements + Temporal Reasoning 1.0 - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Workflows - 4.0 + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo OWL - 2025-02-01 + 2020 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 - - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry - RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. - https://orcid.org/0000-0001-7564-7990 + + MassSpectrometry + Mass Spectrometry Ontology (MassSpectrometry) + A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. + Andreas Bertsch OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main - Materials Science and Engineering - Materials Science - 0.0.1 + 12:02:2025 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/MS + Chemistry + Mass Spectrometry, Proteomics - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. - https://orcid.org/0000-0001-7564-7990 + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo - Materials Science and Engineering - Materials Science - 1.0.0 - - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni - RDF - 15/09/2022 + 2019-02-17 Creative Commons 4.0 - https://schema.datacite.org/ - Scholarly Knowledge - Metadata - 3.1 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge - - ASMO - Atomistic Simulation Methods Ontology (ASMO) - ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. - https://orcid.org/0000-0001-7564-7990 + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo - Materials Science and Engineering - Materials Science - 1.0.0 - - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology Materials Science and Engineering Materials Science - - - PTO - Product Types Ontology (PTO) - The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. - Martin Hepp - RDF - 2025-02-21 - Creative Commons 3.0 - http://www.productontology.org/ - Industry 1.0 + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech + OWL + July 14, 2022 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 + VIBSO Vibrational Spectroscopy Ontology (VIBSO) @@ -965,44 +553,44 @@ Spectroscopy 2024-09-23 - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 + + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file + 2017-01-05 + Creative Commons 4.0 + https://projects.ics.forth.gr/isl/MarineTLO/ Biology and Life Sciences - Materials Science - 2013-05-31 - - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway - RDF - 2018/02/28 - Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 + Marine Science, Oceanography + 1.0 - - BBCPolitics - BBC Politics News Ontology (BBCPolitics) - The Politics Ontology describes the concepts that occur in BBC politics news. - https://www.r4isstatic.com/ + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center TTL - 2014-01-06 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/politics-ontology - News and Media - Politics - 0.9 + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS + Materials Science and Engineering + Materials Science + 0.3.0.0 BBCCreativeWork @@ -1017,123 +605,285 @@ Creative Work 1.19 - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. - Ahmad Zainul Ihsan - OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology - Materials Science and Engineering - Materials Science + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + RDF + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works 1.0 - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2023-05-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Manufacturing + Materials + + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + OWL + Feb. 9, 2007 + Creative Commons 4.0 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 + + + BBC + BBC Ontology (BBC) + The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/bbc-ontology/ + News and Media + News + 1.37 + + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + OWL + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ + Scholarly Knowledge + Research Data Infrastructure + 3.0.0 + + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) + OWL + 2024-03 + Creative Commons 4.0 + https://emmo-repo.github.io/ + Materials Science and Engineering + Materials Modelling + 1.0.0-rc3 + + + SWO + Software Ontology (SWO) + The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. + Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + OWL + 2013-07-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SWO + Scholarly Knowledge + Software 1.0 - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + OWL + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ + Scholarly Knowledge + Workflows + 3.1 + + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant + RDF + 2013-05-24 + Creative Commons 3.0 + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 + + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + TTL + 2013-05-01 + Creative Commons 4.0 + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 + + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering + Scholarly Knowledge + + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. TTL - 2024-04-12 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology + https://github.com/emmo-repo/domain-crystallography Materials Science and Engineering - Materials Science - 1.0.0 + Crystallography + 0.0.1 - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl - Materials Science and Engineering - Materials Science + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO - Materials Science and Engineering - Materials Science + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + TTL + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 + + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR OWL - 2017-01-05 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography - 1.0 + https://www.loa.istc.cnr.it/index.php/dolce/ + Upper Ontology + Linguistics, Cognitive Science - - AGROVOC - AGROVOC Multilingual Thesaurus (AGROVOC) - AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. - Food and Agriculture Organization of the United Nations + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics RDF - August 12, 2024 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGROVOC - Agriculture - Agricultural Knowledge - 2024-04 + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. + https://orcid.org/0000-0001-7564-7990 OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/ldo Materials Science and Engineering + Materials Defects + 1.0.0 + + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols Scholarly Knowledge + Workflows + 4.0 - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social - 1.0 + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 - - FRBRoo - Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) - The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. - RDF - November 2015 + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France + OWL + May 11, 2020 Creative Commons 4.0 - https://ontome.net/namespace/6#summary - Scholarly Knowledge - Bibliographic Records - 2.4 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 DublinCore @@ -1148,43 +898,197 @@ Metadata 1.1 - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco + Materials Science and Engineering + Materials Science + 1.0.0 + + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry + OWL + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases + + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp + OWL + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce + 1.0 + + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group + OWL + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + Materials Science and Engineering + Materials Science, Engineering, Systems + + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith + RDF + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 + + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. OWL - 01/01/2025 Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development + + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + OWL + 2021-12-16 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rxno Chemistry - Chemical Entities - 239 - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann + + LPBFO + Laser Powder Bed Fusion Ontology (LPBFO) + The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. + Fraunhofer IWM + OWL + 2022-09-20 + Creative Commons 4.0 + https://matportal.org/ontologies/LPBFO + Materials Science and Engineering + Materials Science + 1.1.9 + + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv + Materials Science and Engineering + Materials Science + 1.0.0 + + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + OWL + 04-14-2022 + Creative Commons 4.0 + https://github.com/proco-ontology/PROCO + Chemistry + Chemicals, Processes + 04-14-2022 + + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 + Creative Commons 4.0 + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 + + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/Battery-Value-Chain-Ontology/ontology + Materials Science and Engineering + Materials Science + 0.4.3 + + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino OWL - 2025-03-20 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl Materials Science and Engineering Materials Science - 3.0.0-alpha1 - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + OWL + 16 April 2015 + http://www.biopax.org/ + Biology and Life Sciences + Bioinformatics + 1.0 + + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 + Creative Commons 4.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a + + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen TTL - 03/24/2024 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL Materials Science and Engineering - Materials Science - 0.3.0.0 + Materials Testing + 0.1 BBCBusiness @@ -1199,240 +1103,117 @@ Business News 0.5 - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium - OWL - 2025-02-17 - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + TTL + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM - Materials Science and Engineering - Materials Science, Engineering, Systems + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook + + QUDV + Quantities, Units, Dimensions and Values (QUDV) + The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. + SysML OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ - Materials Science and Engineering - Periodic Table of Elements - 1.10 + 2009-10-30 + Apache License 2.0 + https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl + Units and Measurements + 2009-10-30 - - PLDO - Planar Defects Ontology (PLDO) - PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. https://orcid.org/0000-0001-7564-7990 OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/pldo + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo Materials Science and Engineering - Materials Defects + Materials Science 1.0.0 - - GoodRelations - Good Relations Language Reference (GoodRelations) - GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. - Martin Hepp - OWL - 2011-10-01 - Creative Commons 3.0 - https://www.heppnetz.de/ontologies/goodrelations/v1 - Finance - E-commerce - 1.0 - - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler - TTL - Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge - - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant - RDF - 2022-01-30 - Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 - - - MatWerk - NFDI MatWerk Ontology (MatWerk) - NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. - Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack - TTL - 2025-03-01 - Creative Commons 1.0 - https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file - Materials Science and Engineering - Research Data, Interoperability - 3.0.0 - - - REX - Physico-chemical process ontology (REX) - REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. - University of Warsaw - OWL - 2025-03-11 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/REX - Chemistry - 1.0 - - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. - OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 - - - MusicOntology - Music Ontology (MusicOntology) - The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. - Knowledge Media Institute, Open University - RDF - 2013/07/22 - Creative Commons 4.0 - https://github.com/motools/musicontology - Arts and Humanities - Music Theory - 2.1.5 - - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. - OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 - - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller - RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 - - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 - - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + 2020-08-06 + Creative Commons 4.0 + https://github.com/alikucukavci/FSO/ Materials Science and Engineering Materials Science - 0.0.1 + 0.1.0 - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) OWL - April 26th, 2024 + 2022-08-02 Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 - - BBCCoreConcepts - BBC Core Concepts Ontology (BBCCoreConcepts) - The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. - jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + + Metadata4Ing + Metadata for Intelligent Engineering (Metadata4Ing) + The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. + Metadata4Ing Workgroup TTL - 2019-11-21 + 2025-03-10 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/core-concepts-ontology - News and Media - Core Concepts - 1.30 + https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing + Scholarly Knowledge + Materials Science + 1.3.1 - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni RDF - 2024-Feb-27 + 15/09/2022 Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 + https://schema.datacite.org/ + Scholarly Knowledge + Metadata + 3.1 - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ - Scholarly Knowledge - Data Catalogs - 3.0 + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 IOF @@ -1447,42 +1228,174 @@ Manufacturing 1.0 - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton OWL - 2024-11-03 + 2018-02-16 Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics + https://github.com/SPAROntologies/cito/tree/master/docs/current + Scholarly Knowledge + Scholarly Communication + 2.8.1 - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš - OWL - 24.09.2024 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + TTL + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies General Knowledge General - 1.25-20240924T0027Z-unstable(1.26) + 2.0 - - SWO - Software Ontology (SWO) - The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. - Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober OWL - 2013-07-01 + 2017-10-19 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SWO + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 + + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology + Materials Science and Engineering + Materials Science + 1.0.0 + + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. + OWL + 2023-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e + + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz + TTL + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + Materials Science and Engineering + Materials Science + + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + RDF + 08:08:2024 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 + + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier + OWL + 03/25/2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 + + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/General-Process-Ontology/ontology + Materials Science and Engineering + Materials Science + + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. + OWL + 2025-02-17 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge + 1.0 + + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University + OWL + Creative Commons 4.0 + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 + + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo + Materials Science and Engineering + Materials Science + 1.0.0 + + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html Scholarly Knowledge - Software - 1.0 + Linguistics + 3.0 + + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + TTL + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + Materials Science and Engineering + Materials Science + 2.0 SEPIO @@ -1495,288 +1408,337 @@ Scholarly Knowledge Scientific Evidence - - LPBFO - Laser Powder Bed Fusion Ontology (LPBFO) - The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. - Fraunhofer IWM + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). OWL - 2022-09-20 + 2025-02-01 Creative Commons 4.0 - https://matportal.org/ontologies/LPBFO - Materials Science and Engineering - Materials Science - 1.1.9 - - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. - TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology - Materials Science and Engineering - Materials Science - 1.1 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk TTL - 2012-12-01 + 2019-11-21 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology + https://www.bbc.co.uk/ontologies/core-concepts-ontology News and Media - Content Management Systems - 3.7 - - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). - OWL - 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 + Core Concepts + 1.30 - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor - OWL - Feb. 9, 2007 - Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media + https://github.com/perks-project/pk-ontology/tree/master + Industry Provenance - 1.9 + 1.0.0 - - BBC - BBC Ontology (BBC) - The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/bbc-ontology/ - News and Media - News - 1.37 + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 - - OIESoftware - Open Innovation Environment Software (OIESoftware) - EMMO-compliant, domain-level OIE ontology tackling the areas of software products. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. TTL + May 24, 2023 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file Materials Science and Engineering - Materials - 0.1 + Materials Science + 0.1.0 - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center - TTL - March 1, 2022 + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 Creative Commons 4.0 - https://qudt.org/ + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 + + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton + RDF + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration + + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi + RDF + 19-04-2016 + Creative Commons 4.0 + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + Scholarly Knowledge + Linguistics + 1.0 + + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James + RDF + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software + + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium + OWL + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 + + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST + OWL + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO Units and Measurements - Physics - 2.1 - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. + Ahmad Zainul Ihsan + OWL + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM + Materials Science and Engineering + Materials Science + 1.0 + + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV - General Knowledge - General - 2013-04-30 - - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni - RDF - 2015-07-03 + 2025-01-09 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations - - IAO - Information Artifact Ontology (IAO) - The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. OWL - 2022-11-07 + 2024-11-03 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/IAO - General Knowledge - Information, Data, Knowledge + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. - OWL - 2023-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT - Medicine - Cancer, Oncology - 24.04e + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google + RDF + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 - - MSEO - Materials Science and Engineering Ontology (MSEO) - MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. - Thomas Hanke, Fraunhofer IWM - TTL - MIT License - https://github.com/Mat-O-Lab/MSEO - Materials Science and Engineering - Materials Science + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch + RDF + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory + 1.0 - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš OWL - 2022-08-02 + 24.09.2024 Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ - Materials Science and Engineering - Materials Design - 1.1 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + + BBCProgrammes + BBC Programmes Ontology (BBCProgrammes) + This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. + https://moustaki.org/foaf.rdf#moustaki TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography - Materials Science and Engineering - Crystallography - 0.0.1 + 2009/02/20 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/programmes-ontology + News and Media + Programmes + 1.1 - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF + 2025-03-11 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/REX Chemistry - 2.1.0 + 1.0 - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. TTL - 2013/12/18 + 2014/03/18 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology + https://www.bbc.co.uk/ontologies/food-ontology News and Media - Wildlife - 1.1 + Food and Beverage + 0.1 - - MAT - Material Properties Ontology (MAT) - The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. - María Poveda-Villalón, Serge Chávez-Feria - RDF - Creative Commons 4.0 - https://bimerr.iot.linkeddata.es/def/material-properties/ + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + OWL + https://github.com/jesper-friis/emmo-microstructure Materials Science and Engineering - Materials Properties - 0.0.8 + Microstructure - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO TTL - 2025-01-22 - Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology + 1.0 - - AgrO - Agronomy Ontology (AgrO) - An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. - The Crop Ontology Consortium + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas + OWL + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. RDF - 2022-11-02 + November 2015 Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGRO?p=summary - Agriculture - Agronomy - 1.0 + https://ontome.net/namespace/6#summary + Scholarly Knowledge + Bibliographic Records + 2.4 - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 + June 28, 2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. + Knowledge Media Institute, Open University RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 + 2013/07/22 + Creative Commons 4.0 + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 MOP @@ -1790,210 +1752,110 @@ Chemistry, Molecular Biology 2022-05-11 - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan - OWL - 2019-02-17 - Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl - Geography - Geographic Knowledge + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark TTL - 2019-09 - Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics + Materials Science and Engineering + Materials Science + 0.0.1 - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). OWL - March 11, 2018 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo Biology and Life Sciences - General Purpose - 1.0.17 + Biology + 3.75.0 - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ OWL - July 14, 2022 + 2014-03-12 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET - Ecology and Environment - Earth Science, Geoscience - 3.6.0 + https://vocab.linkeddata.es/p-plan/index.html + Scholarly Knowledge + 1.3 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2019-12-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering Materials - 0.1 - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. + TTL + https://github.com/BIG-MAP/BattINFO Materials Science and Engineering Materials Science - 1.0.0 - - - EXPO - Ontology of Scientific Experiments (EXPO) - Formalise generic knowledge about scientific experimental design, methodology, and results representation. - OWL - Academic Free License (AFL) - https://expo.sourceforge.net/ - Scholarly Knowledge - Scientific Experiments - - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) - OWL - 2024-03 - Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 - - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing - Materials Science and Engineering - Mechanical Testing - 1.0.0 - - - CHIRO - CHEBI Integrated Role Ontology (CHIRO) - CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. - OWL - 2015-11-23 - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/chiro - Chemistry - Chemicals, Roles - 2015-11-23 - - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University - OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 - Materials Science and Engineering - Manufacturing - 2.0 - - - OWLTime - Time Ontology in OWL (OWL-Time) - OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. - World Wide Web Consortium - TTL - 15 November 2022 - W3C Software Notice and Document License - https://www.w3.org/TR/owl-time/ - Units and Measurements - Temporal Reasoning - 1.0 - - - DOID - Human Disease Ontology (DOID) - The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. - The Open Biological and Biomedical Ontology Foundry - OWL - 2024-12-18 - Creative Commons 1.0 - http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl - Medicine - Human Diseases - - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. - OWL - 2024-11-18 - Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. - OWL - 2021-12-16 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry - - - BFO - Basic Formal Ontology (BFO) - The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. - University at Buffalo - OWL - 2020 - Creative Commons 4.0 - https://github.com/BFO-ontology/BFO-2020/ - Upper Ontology - Basic - 2.0 - - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission - RDF - 2023-10-19 + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ + TTL + 2013/12/18 Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio - Scholarly Knowledge - Research Information - 2.4 + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife + 1.1 + + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-atomistic + Materials Science and Engineering + Materials Science + 0.0.2 + + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group + TTL + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + Materials Science and Engineering + Sensor Networks + 1.0 DBpedia @@ -2007,36 +1869,20 @@ General Knowledge Knowledge Graph - - Juso - Juso Ontology (Juso) - Juso Ontology is a Web vocabulary for describing geographical addresses and features. - James G. Kim, LiST Inc. - TTL - 2015-11-10 + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. + OWL Creative Commons 4.0 - https://rdfs.co/juso/0.1.1/html - Geography - geographical knowledge - 0.1.1 - - - TimelineOntology - Timeline Ontology (TimelineOntology) - The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. - Christopher Sutton, Yves Raimond, Matthias Mauch - RDF - 25th October 2007 - Creative Commons 1.0 - https://github.com/motools/timelineontology - Arts and Humanities - Music Theory - 1.0 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata - - OIEModels - Open Innovation Environment Models (OIEModels) - The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) @@ -2044,18 +1890,17 @@ Materials Science and Engineering Materials - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz - RDF - 2024-01-30 + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik + TTL + 2019-09 Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html - Materials Science and Engineering - Scholarly Knowledge - 1.0.1 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge OIECharacterisation @@ -2068,166 +1913,321 @@ Materials Science and Engineering Materials - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp RDF - 2007-10-25 + 2025-02-21 Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works + http://www.productontology.org/ + Industry + 1.0 + + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. + OWL + Academic Free License (AFL) + https://expo.sourceforge.net/ + Scholarly Knowledge + Scientific Experiments + + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM + TTL + MIT License + https://github.com/Mat-O-Lab/MSEO + Materials Science and Engineering + Materials Science + + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + OWL + 2021-10-26 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/doco + Education + document components + 1.3 + + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium + RDF + 2022-11-02 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy 1.0 - - MicroStructures - EMMO-based ontology for microstructures (MicroStructures) - This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 + + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics + TTL + April, 2024 + Creative Commons 3.0 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 + + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 + + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + OWL + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 + + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. + OWL + 2016/04/30 + Creative Commons 3.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences + + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller + RDF + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 + + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California + OWL + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 + + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM OWL - https://github.com/jesper-friis/emmo-microstructure + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing Materials Science and Engineering - Microstructure + Mechanical Testing + 1.0.0 - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler + TTL + Creative Commons 4.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge + + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX - Chemistry - Chemicals, Properties - 2020-04-13 + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 - - MOLBRINELL - MatoLab Brinell Test Ontology (MOL_BRINELL) - An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. - Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen - TTL - 05/05/2022 - https://matportal.org/ontologies/MOL_BRINELL + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO Materials Science and Engineering - Materials Testing - 0.1 + Materials Science - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride - TTL + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + OWL + 2024-11-18 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology - News and Media - Sport - 3.2 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology - - VIMMP - Virtual Materials Marketplace Ontologies (VIMMP) - The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University OWL - 2021-01-02 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/VIMMP_ONTOLOGIES + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 Materials Science and Engineering - Materials Modeling + Manufacturing + 2.0 - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + + AUTO + Automotive Ontology (AUTO) + The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. + EDM Council RDF - Apache 2.0 - https://lexinfo.net/index.html - Scholarly Knowledge - Linguistics - 3.0 + 2021-03-01 + MIT + https://github.com/edmcouncil/auto/tree/master + Industry + Automotive - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center TTL - 2014/03/18 + March 1, 2022 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 + https://qudt.org/ + Units and Measurements + Physics + 2.1 - - QUDV - Quantities, Units, Dimensions and Values (QUDV) - The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. - SysML + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. OWL - 2009-10-30 - Apache License 2.0 - https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl - Units and Measurements - 2009-10-30 + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO + General Knowledge + Information, Data, Knowledge - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo + 01/01/2025 + Creative Commons 4.0 + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 + + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw + RDF + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 + + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook + OWL + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ Materials Science and Engineering - Materials Defects - 1.0.0 + Periodic Table of Elements + 1.10 - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo OWL - 2023-05-25 Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements - - - PRotein - Protein Ontology (PRO) - The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. - RDF - 08:08:2024 - Creative Commons 4.0 - http://purl.obolibrary.org/obo/pr.owl + http://purl.obolibrary.org/obo/MFOEM.owl Medicine - Protein - 1.2 - - - AS2 - Activity Streams 2.0 Ontology (AS2) - The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. - TTL - 23 May 2017 - W3C Document License - https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme - Social Sciences - Social - 2.0 + Emotion - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology Materials Science and Engineering - Materials + Materials Science \ No newline at end of file From e0e44d558dc2b13dd41235fce1789d786d74a0c6 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 13:52:51 +0200 Subject: [PATCH 31/50] :sparkles: update library dependencies/ GPU&CPU installation --- pyproject.toml | 55 ++++++++++++++++++++++++++++++++------------------ setup.py | 13 ++++++------ 2 files changed, 41 insertions(+), 27 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 5a78eeaa..4b496d45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "OntoLearner" -version = "0.0.0" # placeholder, will be replaced automatically +version = "0.0.0" description = "OntoLearner: A Modular Python Library for Ontology Learning with LLMs." authors = ["Hamed Babaei Giglou ", "Andrei C. Aioanei "] license = "MIT License" @@ -10,25 +10,35 @@ repository = "https://github.com/sciknoworg/OntoLearner/" include = ["images/logo.png"] [tool.poetry.dependencies] -python=">=3.10,<3.14.0" -rdflib="7.1.1" -networkx ="3.2.1" -seaborn="*" -numpy="*" -pandas="*" -openpyxl="*" -matplotlib="*" -tqdm="*" -pydantic="2.11.3" -pathlib="1.0.1" -dspy="2.6.14" -python-dotenv="*" -huggingface-hub="0.34.4" -transformers="4.56.0" -torch="2.8.0" -sentence-transformers="5.1.0" -scikit-learn="1.6.1" -bitsandbytes="0.45.1" +python = ">=3.10,<3.14.0" + +# Core deps +rdflib = "7.1.1" +networkx = "3.2.1" +numpy = "*" +pandas = "*" +openpyxl = "*" +tqdm = "*" +pydantic = "2.11.3" +pathlib = "1.0.1" +python-dotenv = "*" +matplotlib = "*" +seaborn = "*" +scikit-learn = "1.6.1" +huggingface-hub = "0.34.4" + +# LLM stack (CPU by default) +torch = { version = "^2.8.0", source = "pytorch-cpu" } +transformers = "^4.56.0" +sentence-transformers = "^5.1.0" +dspy = "^2.6.14" + +[tool.poetry.extras] +# GPU-only extras +gpu = [ + "torch==^2.8.0", # GPU wheel (auto CUDA) + "bitsandbytes=^0.45.1" # allow minor/patch updates +] [tool.poetry.dev-dependencies] ruff = "*" @@ -47,3 +57,8 @@ attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" + +[[tool.poetry.source]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +secondary = true diff --git a/setup.py b/setup.py index fc466370..5eabee4b 100644 --- a/setup.py +++ b/setup.py @@ -26,13 +26,12 @@ "networkx==3.2.1", "pydantic==2.11.3", "pathlib==1.0.1", - "dspy==2.6.14", - "huggingface-hub==0.34.4", - "transformers==4.56.0", - "torch==2.8.0", - "sentence-transformers==5.1.0", - "scikit-learn==1.6.1", - "bitsandbytes==0.45.1", + "dspy>=2.6.14,<3.0.0", + "huggingface-hub>=0.34.4,<1.0.0", + "transformers>=4.56.0,<5.0.0", + "sentence-transformers>=5.1.0,<6.0.0", + "scikit-learn>=1.6.1,<2.0.0", + "bitsandbytes>=0.45.1,<1.0.0" ], classifiers=[ "Development Status :: 5 - Production/Stable", From 832ae508181c540d927c98391a16a0683cb10a42 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 13:56:21 +0200 Subject: [PATCH 32/50] :sparkles: update library dependencies --- pyproject.toml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 4b496d45..48b97d0a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,7 +58,6 @@ attr = "ontolearner.__version__" requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" -[[tool.poetry.source]] +[tool.poetry.source] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" -secondary = true From 2dcd294d059a810eebe1af2f6828dde110a59516 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 14:12:16 +0200 Subject: [PATCH 33/50] :sparkles: update library dependencies --- pyproject.toml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 48b97d0a..0515346b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,20 +24,20 @@ pathlib = "1.0.1" python-dotenv = "*" matplotlib = "*" seaborn = "*" -scikit-learn = "1.6.1" -huggingface-hub = "0.34.4" - +scikit-learn = "*" +huggingface-hub = "^0.34.4" # LLM stack (CPU by default) torch = { version = "^2.8.0", source = "pytorch-cpu" } -transformers = "^4.56.0" +transformers = { version = "^4.56.0", extras = ["torch"] } sentence-transformers = "^5.1.0" dspy = "^2.6.14" [tool.poetry.extras] # GPU-only extras gpu = [ - "torch==^2.8.0", # GPU wheel (auto CUDA) - "bitsandbytes=^0.45.1" # allow minor/patch updates + "torch", + "transformer", + "bitsandbytes" ] [tool.poetry.dev-dependencies] @@ -58,6 +58,6 @@ attr = "ontolearner.__version__" requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" -[tool.poetry.source] +[[tool.poetry.source]] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" From 90e7de89e753f1a6846f8a21011c14085d177cd1 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 14:15:53 +0200 Subject: [PATCH 34/50] :bug: add explicit priority to torch --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 0515346b..882a0606 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,6 +57,7 @@ attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" +priority = "explicit" [[tool.poetry.source]] name = "pytorch-cpu" From 2dc0cb65c17b00dac42c7ac6e17a87f4861080db Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 14:19:18 +0200 Subject: [PATCH 35/50] :bug: add default priority to torch --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 882a0606..31d7e209 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,7 +57,7 @@ attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" -priority = "explicit" +default = false [[tool.poetry.source]] name = "pytorch-cpu" From d4dd11b4472a4aa15ce04c7306cfbab0ddba7f50 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 14:22:27 +0200 Subject: [PATCH 36/50] :bug: fix typo --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 31d7e209..6ae21328 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,8 +57,8 @@ attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" -default = false [[tool.poetry.source]] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" +default = false From a723d4f3ecf3e567730827c1e45c7a162016ee30 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 15:10:03 +0200 Subject: [PATCH 37/50] :bug: revert back changes --- pyproject.toml | 21 +++------------------ 1 file changed, 3 insertions(+), 18 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 6ae21328..4a2418ba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,8 +11,6 @@ include = ["images/logo.png"] [tool.poetry.dependencies] python = ">=3.10,<3.14.0" - -# Core deps rdflib = "7.1.1" networkx = "3.2.1" numpy = "*" @@ -26,19 +24,11 @@ matplotlib = "*" seaborn = "*" scikit-learn = "*" huggingface-hub = "^0.34.4" -# LLM stack (CPU by default) -torch = { version = "^2.8.0", source = "pytorch-cpu" } -transformers = { version = "^4.56.0", extras = ["torch"] } +torch = "^2.8.0" +transformers = "^4.56.0" sentence-transformers = "^5.1.0" dspy = "^2.6.14" - -[tool.poetry.extras] -# GPU-only extras -gpu = [ - "torch", - "transformer", - "bitsandbytes" -] +bitsandbytes="^0.45.1" [tool.poetry.dev-dependencies] ruff = "*" @@ -57,8 +47,3 @@ attr = "ontolearner.__version__" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.4.0"] build-backend = "poetry_dynamic_versioning.backend" - -[[tool.poetry.source]] -name = "pytorch-cpu" -url = "https://download.pytorch.org/whl/cpu" -default = false From a6b708bf77c3905d46950a27fcee83339014e5eb Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 20:19:44 +0200 Subject: [PATCH 38/50] :bug: bug fix in learner --- ontolearner/base/learner.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ontolearner/base/learner.py b/ontolearner/base/learner.py index d405a9a4..320678bb 100644 --- a/ontolearner/base/learner.py +++ b/ontolearner/base/learner.py @@ -107,7 +107,7 @@ def predict(self, eval_data: Any, task: str, ontologizer: bool=True) -> Any: Raises: NotImplementedError: If not implemented by concrete class. """ - eval_data = self.tasks_data_former(data=eval_data, task=task, test=False) if ontologizer else eval_data + eval_data = self.tasks_data_former(data=eval_data, task=task, test=True) if ontologizer else eval_data if task == 'term-typing': return self._term_typing(eval_data, test=True) From 919ad60c1f9f76f53f8eca8291e690bed6f5bbd7 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 20:40:45 +0200 Subject: [PATCH 39/50] :bookmark: Update metadata after release (#273) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3508 ++++++++++++++--------------- 1 file changed, 1754 insertions(+), 1754 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index 850bd730..e1da94ea 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -5,155 +5,92 @@ This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. OntoLearner Team MIT License - 1.4.2 + 1.4.3 - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main - Materials Science and Engineering - Materials Science - 0.0.1 - - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 - Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development - - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute - OWL - April 26th, 2024 + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. OWL - March 11, 2018 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO + 16 April 2015 + http://www.biopax.org/ Biology and Life Sciences - General Purpose - 1.0.17 + Bioinformatics + 1.0 - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology - Materials Science and Engineering - Materials Science - 1.1 - - - GND - Gemeinsame Normdatei (GND) - GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. - Alexander Haffner - RDF - 2024-08-26 - Creative Commons 1.0 - https://d-nb.info/standards/elementset/gnd - Library and Cultural Heritage - Authority Files - 1.2.0 - - - PLDO - Planar Defects Ontology (PLDO) - PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. - https://orcid.org/0000-0001-7564-7990 - OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/pldo + https://github.com/General-Process-Ontology/ontology Materials Science and Engineering - Materials Defects - 1.0.0 + Materials Science - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann - OWL - 2025-03-20 + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Materials Science - 3.0.0-alpha1 + Materials - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google RDF - 2024-Feb-27 - Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 - - - ChMO - Chemical Methods Ontology (ChMO) - The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. - OWL - 2022-04-19 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rsc-cmo - Chemistry + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center TTL - 2019-12-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT - Materials Science and Engineering - Materials - 0.1 + March 1, 2022 + Creative Commons 4.0 + https://qudt.org/ + Units and Measurements + Physics + 2.1 - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Materials Science - 4.0 + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 MAT @@ -167,119 +104,64 @@ Materials Properties 0.0.8 - - MatWerk - NFDI MatWerk Ontology (MatWerk) - NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. - Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack - TTL - 2025-03-01 - Creative Commons 1.0 - https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file - Materials Science and Engineering - Research Data, Interoperability - 3.0.0 - - - DEB - Devices, Experimental scaffolds and Biomaterials Ontology (DEB) - The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. - Osnat Hakimi + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ OWL - Jun 2, 2021 - GPL-3.0 - https://github.com/ProjectDebbie/Ontology_DEB - Medicine - Biomaterials - 06/2021 + 2014-03-12 + Creative Commons 4.0 + https://vocab.linkeddata.es/p-plan/index.html + Scholarly Knowledge + 1.3 - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation - TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + OWL + 04-14-2022 + Creative Commons 4.0 + https://github.com/proco-ontology/PROCO Chemistry - Laboratory Analytical Processes - 2024-06 + Chemicals, Processes + 04-14-2022 - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge - Materials Science + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + OWL Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media - Provenance - 1.9 + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development - - CHIRO - CHEBI Integrated Role Ontology (CHIRO) - CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech OWL - 2015-11-23 - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/chiro - Chemistry - Chemicals, Roles - 2015-11-23 - - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi - RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social - 1.0 - - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + July 14, 2022 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology - News and Media - Content Management Systems - 3.7 - - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway - RDF - 2018/02/28 - Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 OIESoftware @@ -293,342 +175,234 @@ Materials 0.1 - - OntoKin - Chemical Kinetics Ontology (OntoKin) - OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. - IEEE + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook OWL - 08 February 2022 - Creative Commons 4.0 - https://www.ontologyportal.org/ - Chemistry - 1.0 + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University - RDF - 2008-05-14 - Creative Commons 4.0 - https://vocab.org/aiiso/ - Scholarly Knowledge - Academic Institution + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium + TTL + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ + Units and Measurements + Temporal Reasoning 1.0 - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + + QUDV + Quantities, Units, Dimensions and Values (QUDV) + The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. + SysML OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF - Chemistry - 2.1.0 + 2009-10-30 + Apache License 2.0 + https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl + Units and Measurements + 2009-10-30 - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team - OWL - Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. + TTL + https://github.com/BIG-MAP/BattINFO Materials Science and Engineering Materials Science - 0.2 - - VIMMP - Virtual Materials Marketplace Ontologies (VIMMP) - The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera - OWL - 2021-01-02 + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/VIMMP_ONTOLOGIES - Materials Science and Engineering - Materials Modeling + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller RDF - 2022-01-30 - Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi + RDF + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social + 1.0 - - SchemaOrg - Schema.org Ontology (SchemaOrg) - Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. - Schema.org Community + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino OWL - 2024-11-22 - Creative Commons 4.0 - https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl - General Knowledge - Web Development - 28.1 + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + Materials Science and Engineering + Materials Science - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz - TTL - 2023-05-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology - Materials Science and Engineering - Manufacturing - 1.0 - - - SUMO - Suggested Upper Merged Ontology (SUMO) - The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp OWL - 2025-02-17 - Creative Commons 4.0 - https://www.ontologyportal.org/ - Upper Ontology - 1.0 - - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World - TTL - 2025-01-22 - Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics - - - Juso - Juso Ontology (Juso) - Juso Ontology is a Web vocabulary for describing geographical addresses and features. - James G. Kim, LiST Inc. - TTL - 2015-11-10 - Creative Commons 4.0 - https://rdfs.co/juso/0.1.1/html - Geography - geographical knowledge - 0.1.1 - - - BBCPolitics - BBC Politics News Ontology (BBCPolitics) - The Politics Ontology describes the concepts that occur in BBC politics news. - https://www.r4isstatic.com/ - TTL - 2014-01-06 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/politics-ontology - News and Media - Politics - 0.9 - - - OWLTime - Time Ontology in OWL (OWL-Time) - OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. - World Wide Web Consortium - TTL - 15 November 2022 - W3C Software Notice and Document License - https://www.w3.org/TR/owl-time/ - Units and Measurements - Temporal Reasoning + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce 1.0 - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + + MOP + Molecular Process Ontology (MOP) + MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. OWL - 2025-01-16 + 2022-05-11 Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl - Agriculture - Diet, Metabolomics, and Nutrition + https://terminology.tib.eu/ts/ontologies/MOP + Chemistry + Chemistry, Molecular Biology + 2022-05-11 - - BFO - Basic Formal Ontology (BFO) - The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. - University at Buffalo + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. OWL - 2020 + 2023-10-19 Creative Commons 4.0 - https://github.com/BFO-ontology/BFO-2020/ - Upper Ontology - Basic - 2.0 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e - - MassSpectrometry - Mass Spectrometry Ontology (MassSpectrometry) - A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. - Andreas Bertsch + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. OWL - 12:02:2025 + 2022-04-19 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MS + https://github.com/rsc-ontologies/rsc-cmo Chemistry - Mass Spectrometry, Proteomics - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi OWL - 2019-02-17 - Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl - Geography - Geographic Knowledge + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. - Ahmad Zainul Ihsan - OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv Materials Science and Engineering Materials Science + 1.0.0 + + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch + RDF + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory 1.0 - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann OWL - July 14, 2022 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET - Ecology and Environment - Earth Science, Geoscience - 3.6.0 + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 - - VIBSO - Vibrational Spectroscopy Ontology (VIBSO) - The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. - VIBSO Workgroup + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl OWL - 2024-09-23 - Creative Commons Attribution 4.0 - https://terminology.tib.eu/ts/ontologies/vibso - Chemistry - Spectroscopy - 2024-09-23 - - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) - RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ + 2015-02-23 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SEPIO Scholarly Knowledge - Data Catalogs - 3.0 + Scientific Evidence - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) OWL - 2017-01-05 + 2024-03 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography - 1.0 + https://emmo-repo.github.io/ + Materials Science and Engineering + Materials Modelling + 1.0.0-rc3 - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa TTL - 03/24/2024 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html Materials Science and Engineering Materials Science - 0.3.0.0 - - - BBCCreativeWork - BBC Creative Work Ontology (BBCCreativeWork) - This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/creative-work-ontology - News and Media - Creative Work - 1.19 - - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London - RDF - 2007-10-25 - Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works - 1.0 - - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. - OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 + 2.0 OIEModels @@ -641,31 +415,64 @@ Materials Science and Engineering Materials - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. OWL - Feb. 9, 2007 - Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 + 2015-11-23 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 - - BBC - BBC Ontology (BBC) - The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. - LinkedData@bbc.co.uk + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 + + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California + OWL + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 + + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis TTL - 2012-12-01 + 2013-05-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/bbc-ontology/ + https://iptc.org/thirdparty/bbc-ontologies/storyline.html News and Media - News - 1.37 + Storyline + 0.3 + + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials NFDIcore @@ -680,18 +487,91 @@ Research Data Infrastructure 3.0.0 - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) + + SchemaOrg + Schema.org Ontology (SchemaOrg) + Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. + Schema.org Community OWL - 2024-03 + 2024-11-22 Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 + https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl + General Knowledge + Web Development + 28.1 + + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + RDF + 08:08:2024 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 + + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium + OWL + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 + + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/creative-work-ontology + News and Media + Creative Work + 1.19 + + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + OWL + 2024-11-18 + Creative Commons 4.0 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology + + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 + Creative Commons 4.0 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 + + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + OWL + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 SWO @@ -706,159 +586,88 @@ Software 1.0 - - OPMW - Open Provenance Model for Workflows (OPMW) - The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). - http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute OWL - 2014-12-22 - Creative Commons Attribution 2.0 Generic (CC BY 2.0) - https://www.opmw.org/model/OPMW_20141222/ - Scholarly Knowledge - Workflows - 3.1 + April 26th, 2024 + Creative Commons 4.0 + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 - - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis - TTL - 2013-05-01 + June 28, 2024 Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html - News and Media - Storyline - 0.3 + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl - Materials Science and Engineering + March 11, 2018 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 + + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. + RDF + November 2015 + Creative Commons 4.0 + https://ontome.net/namespace/6#summary Scholarly Knowledge + Bibliographic Records + 2.4 - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. TTL + May 24, 2023 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file Materials Science and Engineering - Crystallography - 0.0.1 + Materials Science + 0.1.0 - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine - - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. - OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 - - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) - OWL - 2024-07-01 - Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 - - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride - TTL - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology - News and Media - Sport - 3.2 + Apache 2.0 + https://lexinfo.net/index.html + Scholarly Knowledge + Linguistics + 3.0 - - DOLCE - Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) - The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. - Laboratory for Applied Ontology, ISTC-CNR + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. OWL + 2021-12-16 Creative Commons 4.0 - https://www.loa.istc.cnr.it/index.php/dolce/ - Upper Ontology - Linguistics, Cognitive Science - - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics - RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 - - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo - Materials Science and Engineering - Materials Defects - 1.0.0 - - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Workflows - 4.0 + https://github.com/rsc-ontologies/rxno + Chemistry SAREF @@ -872,18 +681,31 @@ interoperability 3.2.1 - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France - OWL - May 11, 2020 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 + + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO + TTL + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology + 1.0 DublinCore @@ -898,283 +720,275 @@ Metadata 1.1 - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark + TTL + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics Materials Science and Engineering Materials Science - 1.0.0 + 0.0.1 - - DOID - Human Disease Ontology (DOID) - The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. - The Open Biological and Biomedical Ontology Foundry - OWL - 2024-12-18 - Creative Commons 1.0 - http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl - Medicine - Human Diseases + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 - - GoodRelations - Good Relations Language Reference (GoodRelations) - GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. - Martin Hepp + + MassSpectrometry + Mass Spectrometry Ontology (MassSpectrometry) + A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry. + Andreas Bertsch OWL - 2011-10-01 - Creative Commons 3.0 - https://www.heppnetz.de/ontologies/goodrelations/v1 - Finance - E-commerce - 1.0 + 12:02:2025 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/MS + Chemistry + Mass Spectrometry, Proteomics - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group - OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + TTL + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology Materials Science and Engineering - Materials Science, Engineering, Systems + Materials Science - - BIO - BIO: A vocabulary for biographical information (BIO) - The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. - Ian Davis and David Galbraith - RDF - 2010-05-10 - Public Domain - https://vocab.org/bio/ - Social Sciences - Biographical Information - 0.1 + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics + TTL + April, 2024 + Creative Commons 3.0 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 - - PO - Plant Ontology (PO) - The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. - OWL + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. + Knowledge Media Institute, Open University + RDF + 2013/07/22 Creative Commons 4.0 - https://github.com/Planteome/plant-ontology - Agriculture - Plant Anatomy, Morphology, Growth and Development + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University OWL - 2021-12-16 Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 - - LPBFO - Laser Powder Bed Fusion Ontology (LPBFO) - The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. - Fraunhofer IWM - OWL - 2022-09-20 - Creative Commons 4.0 - https://matportal.org/ontologies/LPBFO + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-atomistic Materials Science and Engineering Materials Science - 1.1.9 + 0.0.2 - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara + + GND + Gemeinsame Normdatei (GND) + GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. + Alexander Haffner RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv - Materials Science and Engineering - Materials Science - 1.0.0 + 2024-08-26 + Creative Commons 1.0 + https://d-nb.info/standards/elementset/gnd + Library and Cultural Heritage + Authority Files + 1.2.0 - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup OWL - 04-14-2022 - Creative Commons 4.0 - https://github.com/proco-ontology/PROCO + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso Chemistry - Chemicals, Processes - 04-14-2022 + Spectroscopy + 2024-09-23 - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission - RDF - 2023-10-19 + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France + OWL + May 11, 2020 Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio - Scholarly Knowledge - Research Information - 2.4 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. TTL + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies + General Knowledge + General + 2.0 + + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology - Materials Science and Engineering + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge Materials Science - 0.4.3 + 4.0 - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + TTL + 2019-11-21 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/core-concepts-ontology + News and Media + Core Concepts + 1.30 + + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group + TTL + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 Materials Science and Engineering - Materials Science + Sensor Networks + 1.0 - - BioPAX - Biological Pathways Exchange (BioPAX) - BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. OWL - 16 April 2015 - http://www.biopax.org/ + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ Biology and Life Sciences - Bioinformatics - 1.0 + Molecular Biology, Genetics - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 OWL - 2018-02-15 - Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# - Scholarly Knowledge - Linguistics - 2018a - - - MOLBRINELL - MatoLab Brinell Test Ontology (MOL_BRINELL) - An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. - Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen - TTL - 05/05/2022 - https://matportal.org/ontologies/MOL_BRINELL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo Materials Science and Engineering - Materials Testing - 0.1 - - - BBCBusiness - BBC Business News Ontology (BBCBusiness) - The Business News Ontology describes the concepts that occur in BBC business news. - https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed - TTL - 2014-11-09 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/business-news-ontology - News and Media - Business News - 0.5 - - - AS2 - Activity Streams 2.0 Ontology (AS2) - The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. - TTL - 23 May 2017 - W3C Document License - https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme - Social Sciences - Social - 2.0 + Materials Science + 1.0.0 - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX + 08 February 2022 + Creative Commons 4.0 + https://www.ontologyportal.org/ Chemistry - Chemicals, Properties - 2020-04-13 + 1.0 - - QUDV - Quantities, Units, Dimensions and Values (QUDV) - The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. - SysML - OWL - 2009-10-30 - Apache License 2.0 - https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl - Units and Measurements - 2009-10-30 + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler + TTL + Creative Commons 4.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge - - ASMO - Atomistic Simulation Methods Ontology (ASMO) - ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. - https://orcid.org/0000-0001-7564-7990 + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo - Materials Science and Engineering - Materials Science - 1.0.0 + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 - - FSO - Flow Systems Ontology (FSO) - The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. - Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation TTL - 2020-08-06 - Creative Commons 4.0 - https://github.com/alikucukavci/FSO/ - Materials Science and Engineering - Materials Science - 0.1.0 + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) - OWL - 2022-08-02 - Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ - Materials Science and Engineering - Materials Design - 1.1 + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith + RDF + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 Metadata4Ing @@ -1189,460 +1003,529 @@ Materials Science 1.3.1 - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni - RDF - 15/09/2022 + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center + TTL + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS + Materials Science and Engineering + Materials Science + 0.3.0.0 + + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography + Materials Science and Engineering + Crystallography + 0.0.1 + + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + OWL + 2025-02-17 Creative Commons 4.0 - https://schema.datacite.org/ + https://www.ontologyportal.org/ + Upper Ontology + 1.0 + + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + OWL + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ Scholarly Knowledge - Metadata + Workflows 3.1 - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton RDF - 2022-02-01 Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ - Industry - Building Services - 0.3.0 - - - IOF - Industrial Ontology Foundry (IOF) - The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. - IOF Core Working Group - RDF - 2020 - MIT - https://oagi.org/pages/Released-Ontologies - Industry - Manufacturing - 1.0 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober OWL - 2018-02-16 + 2017-10-19 Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current - Scholarly Knowledge - Scholarly Communication - 2.8.1 + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 - - CCO - Common Core Ontologies (CCO) - The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + + BBC + BBC Ontology (BBC) + The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. + LinkedData@bbc.co.uk TTL - 2024-11-06 - BSD-3-Clause license - https://github.com/CommonCoreOntology/CommonCoreOntologies - General Knowledge - General - 2.0 + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/bbc-ontology/ + News and Media + News + 1.37 - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober - OWL - 2017-10-19 + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi + RDF + 19-04-2016 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV - Chemistry - 1.1.0 + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + Scholarly Knowledge + Linguistics + 1.0 - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 - TTL - 2024-04-12 + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology - Materials Science and Engineering - Materials Science - 1.0.0 + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo OWL - 2023-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl Medicine - Cancer, Oncology - 24.04e + Emotion - - ONTORULE - Ontology for the Steel Domain (ONTORULE) - This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. - Diego Daz + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik TTL - 2010-05-31 - N/A - https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl - Materials Science and Engineering - Materials Science + 2019-09 + Creative Commons 4.0 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge - - PRotein - Protein Ontology (PRO) - The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group RDF - 08:08:2024 - Creative Commons 4.0 - http://purl.obolibrary.org/obo/pr.owl - Medicine - Protein - 1.2 + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing + 1.0 - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan OWL - 03/25/2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 - - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology Materials Science and Engineering Materials Science + 1.0 - - DUO - Data Use Ontology (DUO) - DUO is an ontology which represent data use conditions. - OWL - 2025-02-17 + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + TTL Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/DUO/ - Scholarly Knowledge - 1.0 + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships - Knowledge Media Institute, Open University + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway + RDF + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 + + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry OWL - Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home - Scholarly Knowledge - Computer Science - 3.4 + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. https://orcid.org/0000-0001-7564-7990 OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo + https://github.com/OCDO/ldo Materials Science and Engineering - Materials Science + Materials Defects 1.0.0 - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. - RDF - Apache 2.0 - https://lexinfo.net/index.html - Scholarly Knowledge - Linguistics - 3.0 + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + OWL + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa - TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cmso/tree/main Materials Science and Engineering Materials Science - 2.0 + 0.0.1 - - SEPIO - Scientific Evidence and Provenance Information Ontology (SEPIO) - The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo OWL - 2015-02-23 + 2020 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SEPIO + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 + + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer + TTL + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 Scholarly Knowledge - Scientific Evidence + Materials Science - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. OWL - 2025-02-01 + Academic Free License (AFL) + https://expo.sourceforge.net/ + Scholarly Knowledge + Scientific Experiments + + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST + OWL + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO + Units and Measurements + + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni + RDF + 15/09/2022 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 + https://schema.datacite.org/ + Scholarly Knowledge + Metadata + 3.1 - - BBCCoreConcepts - BBC Core Concepts Ontology (BBCCoreConcepts) - The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. - jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + OWL + 01/01/2025 + Creative Commons 4.0 + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 + + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + OWL + 2021-10-26 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University + OWL + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + Materials Science and Engineering + Manufacturing + 2.0 + + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + OWL + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 + + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan + OWL + 2019-02-17 + Creative Commons 4.0 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge + + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ TTL - 2019-11-21 + 2014-01-06 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/core-concepts-ontology + https://www.bbc.co.uk/ontologies/politics-ontology News and Media - Core Concepts - 1.30 + Politics + 0.9 - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering + Scholarly Knowledge + + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz + TTL + 2023-05-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE + https://github.com/iassouroko/AMontology Materials Science and Engineering - Materials Testings - 0.4 + Manufacturing + 1.0 - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni RDF - 2025-03-01 + 2015-07-03 Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master - Industry - Provenance - 1.0.0 - - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 - Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html + http://www.sparontologies.net/ontologies/doco Education - Library, Museums, Archives - 2.5.0 + document components + 1.3 - - CIFCore - Crystallographic Information Framework Core Dictionary (CIFCore) - (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk TTL - May 24, 2023 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file - Materials Science and Engineering - Materials Science - 0.1.0 + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media + Provenance + 1.9 - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics RDF - 2024-01-30 + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 + + + LPBFO + Laser Powder Bed Fusion Ontology (LPBFO) + The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. + Fraunhofer IWM + OWL + 2022-09-20 Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + https://matportal.org/ontologies/LPBFO Materials Science and Engineering - Scholarly Knowledge - 1.0.1 + Materials Science + 1.1.9 - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant RDF - Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University RDF - 19-04-2016 + 2008-05-14 Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + https://vocab.org/aiiso/ Scholarly Knowledge - Linguistics + Academic Institution 1.0 - - DOAP - The Description of a Project vocabulary (DOAP) - The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. - Edd Wilder-James + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw RDF - 2020-04-03 - Apache License 2.0 - https://github.com/ewilderj/doap/blob/master/schema/doap.rdf - Industry - Software - - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium - OWL - 2025-02-17 - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 - - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST - OWL - 2023-05-25 - Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 - - DSIM - Dislocation Simulation and Model Ontology (DSIM) - Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. - Ahmad Zainul Ihsan - OWL - 17.08.2023 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://github.com/OCDO/DSIM + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. + TTL + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology Materials Science and Engineering Materials Science - 1.0 - - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. - OWL - 2025-01-09 - Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master - Medicine - Biomedical Investigations + 1.1 - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko OWL - 2024-11-03 - Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics - - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google - RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 - - - TimelineOntology - Timeline Ontology (TimelineOntology) - The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. - Christopher Sutton, Yves Raimond, Matthias Mauch - RDF - 25th October 2007 Creative Commons 1.0 - https://github.com/motools/timelineontology - Arts and Humanities - Music Theory - 1.0 - - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš - OWL - 24.09.2024 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam - General Knowledge - General - 1.25-20240924T0027Z-unstable(1.26) + https://terminology.tib.eu/ts/ontologies/CHEMINF + Chemistry + 2.1.0 - - BBCProgrammes - BBC Programmes Ontology (BBCProgrammes) - This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. - https://moustaki.org/foaf.rdf#moustaki + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack TTL - 2009/02/20 + 2025-03-01 + Creative Commons 1.0 + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + Materials Science and Engineering + Research Data, Interoperability + 3.0.0 + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/programmes-ontology - News and Media - Programmes - 1.1 + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 REX @@ -1656,218 +1539,197 @@ Chemistry 1.0 - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. - TTL - 2014/03/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 - - - MicroStructures - EMMO-based ontology for microstructures (MicroStructures) - This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera OWL - https://github.com/jesper-friis/emmo-microstructure + 2021-01-02 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/VIMMP_ONTOLOGIES Materials Science and Engineering - Microstructure + Materials Modeling - - GTS - Geologic Timescale model (GTS) - This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. - Simon J D Cox (simon.cox@csiro.au) of CSIRO + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology - 1.0 - - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas - OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file - Biology and Life Sciences + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + Materials Science and Engineering Materials Science - 2013-05-31 - - - FRBRoo - Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) - The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. - RDF - November 2015 - Creative Commons 4.0 - https://ontome.net/namespace/6#summary - Scholarly Knowledge - Bibliographic Records - 2.4 - - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM - Units and Measurements - 2.0.57 - - MusicOntology - Music Ontology (MusicOntology) - The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. - Knowledge Media Institute, Open University - RDF - 2013/07/22 - Creative Commons 4.0 - https://github.com/motools/musicontology - Arts and Humanities - Music Theory - 2.1.5 + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + TTL + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 - - MOP - Molecular Process Ontology (MOP) - MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier OWL - 2022-05-11 + 03/25/2024 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MOP - Chemistry - Chemistry, Molecular Biology - 2022-05-11 - - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark - TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. + Ahmad Zainul Ihsan + OWL + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM Materials Science and Engineering Materials Science - 0.0.1 + 1.0 - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). - OWL - 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 OWL - 2014-03-12 - Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html - Scholarly Knowledge - 1.3 - - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + https://github.com/OCDO/pldo Materials Science and Engineering - Materials + Materials Defects + 1.0.0 - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo Materials Science and Engineering Materials Science + 1.0.0 + + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 + Creative Commons 4.0 + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 + + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ - TTL - 2013/12/18 + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology - News and Media - Wildlife - 1.1 + https://github.com/perks-project/pk-ontology/tree/master + Industry + Provenance + 1.0.0 - - Atomistic - Atomistic Ontology (Atomistic) - An EMMO-based domain ontology for atomistic and electronic modelling. - Francesca L. Bleken, Jesper Friis + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-atomistic + https://github.com/Battery-Value-Chain-Ontology/ontology Materials Science and Engineering Materials Science - 0.0.2 + 0.4.3 - - SSN - Semantic Sensor Network Ontology (SSN) - The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. - W3C/OGC Spatial Data on the Web Working Group - TTL - 2017-04-17 - http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document - https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco Materials Science and Engineering - Sensor Networks - 1.0 + Materials Science + 1.0.0 - - DBpedia - DBpedia Ontology (DBpedia) - The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. - DBpedia Maintainers and Contributors + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR OWL - 2008-11-17 - Creative Commons 3.0 - https://wiki.dbpedia.org/ - General Knowledge - Knowledge Graph + Creative Commons 4.0 + https://www.loa.istc.cnr.it/index.php/dolce/ + Upper Ontology + Linguistics, Cognitive Science + + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World + TTL + 2025-01-22 + Creative Commons 4.0 + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics FAIR @@ -1879,97 +1741,111 @@ Upper Ontology Data, Metadata - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + OWL + 2025-01-09 + Creative Commons 4.0 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik - TTL - 2019-09 + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + OWL + 24.09.2024 Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) - - OIECharacterisation - Open Innovation Environment Characterisation (OIECharacterisation) - EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. - Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + + BBCProgrammes + BBC Programmes Ontology (BBCProgrammes) + This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services,etc. Its development was funded by the BBC, and is heavily grounded on previous programmes data modelling work done there. + https://moustaki.org/foaf.rdf#moustaki TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + 2009/02/20 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/programmes-ontology + News and Media + Programmes + 1.1 - - PTO - Product Types Ontology (PTO) - The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. - Martin Hepp - RDF - 2025-02-21 + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. + OWL + 2016/04/30 Creative Commons 3.0 - http://www.productontology.org/ - Industry - 1.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences - - EXPO - Ontology of Scientific Experiments (EXPO) - Formalise generic knowledge about scientific experimental design, methodology, and results representation. + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton OWL - Academic Free License (AFL) - https://expo.sourceforge.net/ + 2018-02-16 + Creative Commons 4.0 + https://github.com/SPAROntologies/cito/tree/master/docs/current Scholarly Knowledge - Scientific Experiments + Scholarly Communication + 2.8.1 - - MSEO - Materials Science and Engineering Ontology (MSEO) - MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. - Thomas Hanke, Fraunhofer IWM - TTL - MIT License - https://github.com/Mat-O-Lab/MSEO + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO Materials Science and Engineering Materials Science - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors OWL - 2021-10-26 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO - Medicine - Enzyme - 2021-10-26 + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni - RDF - 2015-07-03 + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. + OWL + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 + + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. + OWL + 2025-02-17 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge + 1.0 AgrO @@ -1984,158 +1860,167 @@ Agronomy 1.0 - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho - RDF - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science - 0.1.0 - - - YAGO - YAGO Ontology (YAGO) - YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. - Max Planck Institute for Informatics - TTL - April, 2024 - Creative Commons 3.0 - https://yago-knowledge.org/downloads/yago-4-5 + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + OWL + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO General Knowledge - People, Cities, Countries, Movies, Organizations - 4.5 + Information, Data, Knowledge - - AGROVOC - AGROVOC Multilingual Thesaurus (AGROVOC) - AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. - Food and Agriculture Organization of the United Nations - RDF - August 12, 2024 + + BBCBusiness + BBC Business News Ontology (BBCBusiness) + The Business News Ontology describes the concepts that occur in BBC business news. + https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed + TTL + 2014-11-09 Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGROVOC - Agriculture - Agricultural Knowledge - 2024-04 - - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. - OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl - General Knowledge - Relations - 2024-04-24 + https://www.bbc.co.uk/ontologies/business-news-ontology + News and Media + Business News + 0.5 - - Conference - Conference Ontology (Conference) - The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. - Aldo Gangemi et al. + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor OWL - 2016/04/30 - Creative Commons 3.0 - http://www.scholarlydata.org/ontology/conference-ontology.owl - Events - Conferences + Feb. 9, 2007 + Creative Commons 4.0 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software - - OBOE - Extensible Observation Ontology (OBOE) - The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. - The Regents of the University of California + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). OWL - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/OBOE - Scholarly Knowledge - Scientific Observation - 1.2 + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo + Biology and Life Sciences + Biology + 3.75.0 - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM - OWL + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing + https://github.com/emmo-repo/domain-characterisation-methodology Materials Science and Engineering - Mechanical Testing + Materials Science 1.0.0 - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler - TTL - Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + RDF + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works + 1.0 - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. - OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV - General Knowledge - General - 2013-04-30 + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen + RDF + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO + Creative Commons 4.0 + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ Materials Science and Engineering Materials Science + 0.2 - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. - OWL - 2024-11-18 + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. + TTL + 2014/03/18 Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology + https://www.bbc.co.uk/ontologies/food-ontology + News and Media + Food and Beverage + 0.1 + + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ + TTL + 2013/12/18 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife + 1.1 + + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM Materials Science and Engineering - Manufacturing - 2.0 + Materials Science, Engineering, Systems AUTO @@ -2149,85 +2034,200 @@ Industry Automotive - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + OWL + https://github.com/jesper-friis/emmo-microstructure + Materials Science and Engineering + Microstructure + + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. TTL - March 1, 2022 + 2015-11-10 Creative Commons 4.0 - https://qudt.org/ - Units and Measurements - Physics - 2.1 + https://rdfs.co/juso/0.1.1/html + Geography + geographical knowledge + 0.1.1 - - IAO - Information Artifact Ontology (IAO) - The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen + TTL + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL + Materials Science and Engineering + Materials Testing + 0.1 + + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas OWL - 2022-11-07 + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen + TTL + 2020-08-06 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/IAO - General Knowledge - Information, Data, Knowledge + https://github.com/alikucukavci/FSO/ + Materials Science and Engineering + Materials Science + 0.1.0 - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) OWL - 01/01/2025 + 2022-08-02 Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ - Chemistry - Chemical Entities - 239 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). + OWL + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 + + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 + 2013-05-24 + Creative Commons 3.0 + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing Materials Science and Engineering - Periodic Table of Elements - 1.10 + Mechanical Testing + 1.0.0 - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. OWL - Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - NanoMine - NanoMine Ontology (NanoMine) - Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru TTL - APACHE 2.0 - https://github.com/tetherless-world/nanomine-ontology + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials + 0.1 + + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 + Creative Commons 4.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a + + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 + + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM + TTL + MIT License + https://github.com/Mat-O-Lab/MSEO Materials Science and Engineering Materials Science + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp + RDF + 2025-02-21 + Creative Commons 3.0 + http://www.productontology.org/ + Industry + 1.0 + + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 + \ No newline at end of file From 6d0f49cd0b0466d7c332029cb7484fbcf890e002 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 20:43:12 +0200 Subject: [PATCH 40/50] :memo: fix typo --- docs/source/learners/rag.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/learners/rag.rst b/docs/source/learners/rag.rst index 4a1077c8..a2edc5b4 100644 --- a/docs/source/learners/rag.rst +++ b/docs/source/learners/rag.rst @@ -32,7 +32,7 @@ We start by importing necessary components from the ontolearner package, loading # Load the AgrO ontology (an agricultural domain ontology) ontology = AgrO() ontology.load() - ontological_data = ontology.extract(), + ontological_data = ontology.extract() # Extract structured data from the ontology and split into train/test sets train_data, test_data = train_test_split( @@ -111,7 +111,7 @@ You initialize the ``LearnerPipeline`` by directly providing the ``retriever_id` # Load the AgrO ontology, which contains concepts related to wines, their properties, and categories ontology = AgrO() ontology.load() # Load entities, types, and structured term annotations from the ontology - ontological_data = ontology.extract(), + ontological_data = ontology.extract() # Extract term-typing instances and split into train and test sets train_data, test_data = train_test_split( ontological_data, From d0c37e6162ed988764e79ac4f89b489f7587ca3a Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 20:44:54 +0200 Subject: [PATCH 41/50] :bookmark: v1.4.3 --- CHANGELOG.md | 5 +++++ CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 7 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 2e4c6bf3..641bf1b0 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,10 @@ ## Changelog +### v1.4.3 (September 7, 2025) +- Update dependencies +- fix bug in learner +- cosmetic fix to the docs + ### v1.4.2 (September 1, 2025) - fix dependency issue for torch and transformers. - update maintenance plan diff --git a/CITATION.cff b/CITATION.cff index 6b237525..16115f69 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.4.2 +version: 1.4.3 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 9df886c4..428b770e 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.4.2 +1.4.3 From e904a1e2ae4c01bc16e2c718cfe2136a6385dc30 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Sun, 7 Sep 2025 20:54:41 +0200 Subject: [PATCH 42/50] :pencil2: add torch versioning to setups --- setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/setup.py b/setup.py index 5eabee4b..6ae94bb3 100644 --- a/setup.py +++ b/setup.py @@ -27,6 +27,7 @@ "pydantic==2.11.3", "pathlib==1.0.1", "dspy>=2.6.14,<3.0.0", + "torch>=2.8.0,<3.0.0", "huggingface-hub>=0.34.4,<1.0.0", "transformers>=4.56.0,<5.0.0", "sentence-transformers>=5.1.0,<6.0.0", From dc1c8d1d46cc8132c8f5658873007946060e4de8 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 9 Sep 2025 18:13:30 +0200 Subject: [PATCH 43/50] :bookmark: Update metadata after release (#274) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3516 ++++++++++++++--------------- 1 file changed, 1758 insertions(+), 1758 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index e1da94ea..626a6249 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -5,187 +5,90 @@ This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. OntoLearner Team MIT License - 1.4.3 + 1.4.4 - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz - RDF - 2024-01-30 - Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html - Materials Science and Engineering - Scholarly Knowledge - 1.0.1 - - - BioPAX - Biological Pathways Exchange (BioPAX) - BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. OWL - 16 April 2015 - http://www.biopax.org/ - Biology and Life Sciences - Bioinformatics - 1.0 + 2023-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology + https://github.com/emmo-repo/domain-atomistic Materials Science and Engineering Materials Science + 0.0.2 - - OIECharacterisation - Open Innovation Environment Characterisation (OIECharacterisation) - EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. - Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL Creative Commons Attribution 4.0 International (CC BY 4.0) https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering Materials - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google - RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 - - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. TTL - March 1, 2022 - Creative Commons 4.0 - https://qudt.org/ - Units and Measurements - Physics - 2.1 - - - AGROVOC - AGROVOC Multilingual Thesaurus (AGROVOC) - AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. - Food and Agriculture Organization of the United Nations - RDF - August 12, 2024 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGROVOC - Agriculture - Agricultural Knowledge - 2024-04 - - - MAT - Material Properties Ontology (MAT) - The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. - María Poveda-Villalón, Serge Chávez-Feria - RDF - Creative Commons 4.0 - https://bimerr.iot.linkeddata.es/def/material-properties/ - Materials Science and Engineering - Materials Properties - 0.0.8 + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies + General Knowledge + General + 2.0 - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl OWL - 2014-03-12 + 2015-02-23 Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html + https://terminology.tib.eu/ts/ontologies/SEPIO Scholarly Knowledge - 1.3 + Scientific Evidence - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance - OWL - 04-14-2022 + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + RDF + 08:08:2024 Creative Commons 4.0 - https://github.com/proco-ontology/PROCO - Chemistry - Chemicals, Processes - 04-14-2022 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - PO - Plant Ontology (PO) - The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. - OWL - Creative Commons 4.0 - https://github.com/Planteome/plant-ontology - Agriculture - Plant Anatomy, Morphology, Growth and Development - - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech - OWL - July 14, 2022 + 2012-12-01 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET - Ecology and Environment - Earth Science, Geoscience - 3.6.0 - - - OIESoftware - Open Innovation Environment Software (OIESoftware) - EMMO-compliant, domain-level OIE ontology tackling the areas of software products. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - 0.1 - - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook - OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ - Materials Science and Engineering - Periodic Table of Elements - 1.10 + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media + Provenance + 1.9 OWLTime @@ -200,85 +103,54 @@ Temporal Reasoning 1.0 - - QUDV - Quantities, Units, Dimensions and Values (QUDV) - The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. - SysML + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics + RDF + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 + + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). OWL - 2009-10-30 - Apache License 2.0 - https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl - Units and Measurements - 2009-10-30 + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo + Biology and Life Sciences + Biology + 3.75.0 - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO - Materials Science and Engineering - Materials Science - - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho - RDF - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science - 0.1.0 - - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 + November 2015 + Creative Commons 4.0 + https://ontome.net/namespace/6#summary + Scholarly Knowledge + Bibliographic Records + 2.4 - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social - 1.0 - - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl - Materials Science and Engineering - Materials Science - - - GoodRelations - Good Relations Language Reference (GoodRelations) - GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. - Martin Hepp - OWL - 2011-10-01 - Creative Commons 3.0 - https://www.heppnetz.de/ontologies/goodrelations/v1 - Finance - E-commerce + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing 1.0 @@ -293,128 +165,44 @@ Chemistry, Molecular Biology 2022-05-11 - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. - OWL - 2023-10-19 + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik + TTL + 2019-09 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT - Medicine - Cancer, Oncology - 24.04e + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge - - ChMO - Chemical Methods Ontology (ChMO) - The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. - OWL - 2022-04-19 + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center + TTL + March 1, 2022 Creative Commons 4.0 - https://github.com/rsc-ontologies/rsc-cmo - Chemistry - - - DEB - Devices, Experimental scaffolds and Biomaterials Ontology (DEB) - The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. - Osnat Hakimi - OWL - Jun 2, 2021 - GPL-3.0 - https://github.com/ProjectDebbie/Ontology_DEB - Medicine - Biomaterials - 06/2021 - - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara - RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv - Materials Science and Engineering - Materials Science - 1.0.0 + https://qudt.org/ + Units and Measurements + Physics + 2.1 - - TimelineOntology - Timeline Ontology (TimelineOntology) - The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. - Christopher Sutton, Yves Raimond, Matthias Mauch + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London RDF - 25th October 2007 - Creative Commons 1.0 - https://github.com/motools/timelineontology + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology Arts and Humanities - Music Theory + Musical Works 1.0 - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann - OWL - 2025-03-20 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file - Materials Science and Engineering - Materials Science - 3.0.0-alpha1 - - - SEPIO - Scientific Evidence and Provenance Information Ontology (SEPIO) - The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl - OWL - 2015-02-23 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SEPIO - Scholarly Knowledge - Scientific Evidence - - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) - OWL - 2024-03 - Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 - - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa - TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html - Materials Science and Engineering - Materials Science - 2.0 - - - OIEModels - Open Innovation Environment Models (OIEModels) - The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - CHIRO CHEBI Integrated Role Ontology (CHIRO) @@ -427,16 +215,18 @@ Chemicals, Roles 2015-11-23 - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 + Creative Commons 4.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a OBOE @@ -450,128 +240,80 @@ Scientific Observation 1.2 - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis - TTL - 2013-05-01 + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium + RDF + 2022-11-02 Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html - News and Media - Storyline - 0.3 - - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - NFDIcore - National Research Data Infrastructure Ontology (NFDIcore) - The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. - Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack - OWL - 2025-02-07 - Creative Commons 1.0 - https://ise-fizkarlsruhe.github.io/nfdicore/ - Scholarly Knowledge - Research Data Infrastructure - 3.0.0 - - - SchemaOrg - Schema.org Ontology (SchemaOrg) - Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. - Schema.org Community - OWL - 2024-11-22 - Creative Commons 4.0 - https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl - General Knowledge - Web Development - 28.1 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy + 1.0 - - PRotein - Protein Ontology (PRO) - The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant RDF - 08:08:2024 - Creative Commons 4.0 - http://purl.obolibrary.org/obo/pr.owl - Medicine - Protein - 1.2 - - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium - OWL - 2025-02-17 + 2013-05-24 Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 - - BBCCreativeWork - BBC Creative Work Ontology (BBCCreativeWork) - This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) + OWL + 2022-08-02 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/creative-work-ontology - News and Media - Creative Work - 1.19 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Materials Science and Engineering + Materials Design + 1.1 - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. OWL - 2024-11-18 + 2021-12-16 Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology + https://github.com/rsc-ontologies/rxno + Chemistry - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech OWL - 2017-01-05 + July 14, 2022 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography - 1.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. - OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV - General Knowledge - General - 2013-04-30 + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation + TTL + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 SWO @@ -586,163 +328,124 @@ Software 1.0 - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute - OWL - April 26th, 2024 - Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer + TTL + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge + Materials Science - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw + OWL + 2025-03-11 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM - Units and Measurements - 2.0.57 + https://terminology.tib.eu/ts/ontologies/REX + Chemistry + 1.0 - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. OWL - March 11, 2018 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO - Biology and Life Sciences - General Purpose - 1.0.17 + Academic Free License (AFL) + https://expo.sourceforge.net/ + Scholarly Knowledge + Scientific Experiments - - FRBRoo - Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) - The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. + + MAT + Material Properties Ontology (MAT) + The Material Properties Ontology aims to provide the vocabulary to describe the building components, materials, and their corresponding properties, relevant within the construction industry. More specifically, the building elements and properties covered in this ontology support applications focused on the design of building renovation projects. + María Poveda-Villalón, Serge Chávez-Feria RDF - November 2015 Creative Commons 4.0 - https://ontome.net/namespace/6#summary - Scholarly Knowledge - Bibliographic Records - 2.4 + https://bimerr.iot.linkeddata.es/def/material-properties/ + Materials Science and Engineering + Materials Properties + 0.0.8 - - CIFCore - Crystallographic Information Framework Core Dictionary (CIFCore) - (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. TTL - May 24, 2023 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology Materials Science and Engineering Materials Science - 0.1.0 + 1.1 - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. - RDF - Apache 2.0 - https://lexinfo.net/index.html - Scholarly Knowledge - Linguistics - 3.0 - - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University OWL - 2021-12-16 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry - - - SAREF - Smart Applications REFerence ontology (SAREF) - The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). - ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) - RDF - 2020-12-31 - https://saref.etsi.org/core/v3.2.1/ - Web and Internet - interoperability - 3.2.1 - - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) - RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ - Scholarly Knowledge - Data Catalogs - 3.0 + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + Materials Science and Engineering + Manufacturing + 2.0 - - GTS - Geologic Timescale model (GTS) - This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. - Simon J D Cox (simon.cox@csiro.au) of CSIRO - TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan + OWL + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + Materials Science and Engineering + Materials Science 1.0 - - DublinCore - Dublin Core Vocabulary (DublinCore) - The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. - The Dublin Core Metadata Initiative - RDF - February 17, 2017 - Public Domain - https://bioportal.bioontology.org/ontologies/DC - General Knowledge - Metadata - 1.1 - - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/creative-work-ontology + News and Media + Creative Work + 1.19 + + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cmso/tree/main Materials Science and Engineering Materials Science 0.0.1 - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 - TTL + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 + https://github.com/OCDO/ldo + Materials Science and Engineering + Materials Defects + 1.0.0 MassSpectrometry @@ -756,68 +459,194 @@ Chemistry Mass Spectrometry, Proteomics - - NanoMine - NanoMine Ontology (NanoMine) - Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. - TTL - APACHE 2.0 - https://github.com/tetherless-world/nanomine-ontology + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier + OWL + 03/25/2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SIO + Upper Ontology + Basic + 1.59 + + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) + OWL + 2024-03 + Creative Commons 4.0 + https://emmo-repo.github.io/ Materials Science and Engineering - Materials Science + Materials Modelling + 1.0.0-rc3 - - YAGO - YAGO Ontology (YAGO) - YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. - Max Planck Institute for Informatics + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis TTL - April, 2024 - Creative Commons 3.0 - https://yago-knowledge.org/downloads/yago-4-5 - General Knowledge - People, Cities, Countries, Movies, Organizations - 4.5 - - - MusicOntology - Music Ontology (MusicOntology) - The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. - Knowledge Media Institute, Open University - RDF - 2013/07/22 + 2013-05-01 Creative Commons 4.0 - https://github.com/motools/musicontology - Arts and Humanities - Music Theory - 2.1.5 + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships - Knowledge Media Institute, Open University + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas OWL - Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 + + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols Scholarly Knowledge - Computer Science - 3.4 + Materials Science + 4.0 - - Atomistic - Atomistic Ontology (Atomistic) - An EMMO-based domain ontology for atomistic and electronic modelling. - Francesca L. Bleken, Jesper Friis + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz TTL + 2023-05-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-atomistic + https://github.com/iassouroko/AMontology Materials Science and Engineering - Materials Science - 0.0.2 + Manufacturing + 1.0 - - GND + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + OWL + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV + General Knowledge + General + 2013-04-30 + + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors + OWL + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph + + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 + + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi + OWL + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 + + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni + RDF + 15/09/2022 + Creative Commons 4.0 + https://schema.datacite.org/ + Scholarly Knowledge + Metadata + 3.1 + + + NanoMine + NanoMine Ontology (NanoMine) + Polymer Nanocomposites based ontology which enable researchers to develop and test broad-reaching hypotheses about how inter-relationships between different materials processing methods and composition result in specific changes in material properties. + TTL + APACHE 2.0 + https://github.com/tetherless-world/nanomine-ontology + Materials Science and Engineering + Materials Science + + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + RDF + 2025-03-01 + Creative Commons 4.0 + https://github.com/perks-project/pk-ontology/tree/master + Industry + Provenance + 1.0.0 + + + MatWerk + NFDI MatWerk Ontology (MatWerk) + NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. + Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + TTL + 2025-03-01 + Creative Commons 1.0 + https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + Materials Science and Engineering + Research Data, Interoperability + 3.0.0 + + + GND Gemeinsame Normdatei (GND) GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. Alexander Haffner @@ -829,56 +658,66 @@ Authority Files 1.2.0 - - VIBSO - Vibrational Spectroscopy Ontology (VIBSO) - The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. - VIBSO Workgroup - OWL - 2024-09-23 - Creative Commons Attribution 4.0 - https://terminology.tib.eu/ts/ontologies/vibso - Chemistry - Spectroscopy - 2024-09-23 + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography + Materials Science and Engineering + Crystallography + 0.0.1 - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France - OWL - May 11, 2020 + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top + RDF + June 28, 2024 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 - - CCO - Common Core Ontologies (CCO) - The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. - TTL - 2024-11-06 - BSD-3-Clause license - https://github.com/CommonCoreOntology/CommonCoreOntologies - General Knowledge - General - 2.0 + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway + RDF + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com - OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi + RDF + 19-04-2016 + Creative Commons 4.0 + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl Scholarly Knowledge - Materials Science - 4.0 + Linguistics + 1.0 + + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + OWL + 01/01/2025 + Creative Commons 4.0 + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 BBCCoreConcepts @@ -893,139 +732,182 @@ Core Concepts 1.30 - - SSN - Semantic Sensor Network Ontology (SSN) - The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. - W3C/OGC Spatial Data on the Web Working Group - TTL - 2017-04-17 - http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document - https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 - Materials Science and Engineering - Sensor Networks - 1.0 - - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. - OWL - 2024-11-03 + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. - https://orcid.org/0000-0001-7564-7990 + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo - Materials Science and Engineering - Materials Science - 1.0.0 + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl + Medicine + Emotion - - OntoKin - Chemical Kinetics Ontology (OntoKin) - OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. - IEEE + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance OWL - 08 February 2022 + 04-14-2022 Creative Commons 4.0 - https://www.ontologyportal.org/ + https://github.com/proco-ontology/PROCO Chemistry + Chemicals, Processes + 04-14-2022 + + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. + OWL + 2021-10-26 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi + RDF + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social 1.0 - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. + OWL + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata + + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride TTL Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge + https://www.bbc.co.uk/ontologies/sport-ontology + News and Media + Sport + 3.2 - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. OWL - 2024-07-01 - Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO + Materials Science and Engineering + Materials Science - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 + Creative Commons 4.0 + https://vocab.org/aiiso/ + Scholarly Knowledge + Academic Institution + 1.0 + + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO - Chemistry - Laboratory Analytical Processes - 2024-06 + May 24, 2023 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 0.1.0 - - BIO - BIO: A vocabulary for biographical information (BIO) - The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. - Ian Davis and David Galbraith + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch RDF - 2010-05-10 - Public Domain - https://vocab.org/bio/ - Social Sciences - Biographical Information - 0.1 + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory + 1.0 - - Metadata4Ing - Metadata for Intelligent Engineering (Metadata4Ing) - The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. - Metadata4Ing Workgroup + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. TTL - 2025-03-10 + 2014/03/18 Creative Commons 4.0 - https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing - Scholarly Knowledge - Materials Science - 1.3.1 + https://www.bbc.co.uk/ontologies/food-ontology + News and Media + Food and Beverage + 0.1 - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group TTL - 03/24/2024 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + Materials Science and Engineering + Sensor Networks + 1.0 + + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. + TTL + https://github.com/BIG-MAP/BattINFO Materials Science and Engineering Materials Science - 0.3.0.0 - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier TTL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography + https://github.com/Battery-Value-Chain-Ontology/ontology Materials Science and Engineering - Crystallography - 0.0.1 + Materials Science + 0.4.3 SUMO @@ -1038,6 +920,19 @@ Upper Ontology 1.0 + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup + OWL + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso + Chemistry + Spectroscopy + 2024-09-23 + OPMW Open Provenance Model for Workflows (OPMW) @@ -1051,141 +946,701 @@ Workflows 3.1 - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton - RDF + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World + TTL + 2025-01-22 Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM OWL - 2017-10-19 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV - Chemistry - 1.1.0 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing + Materials Science and Engineering + Mechanical Testing + 1.0.0 - - BBC - BBC Ontology (BBC) - The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo + Materials Science and Engineering + Materials Science + 1.0.0 + + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl + Materials Science and Engineering + Materials Science + + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. + OWL + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 + + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + OWL + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF + Chemistry + 2.1.0 + + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith + RDF + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 + + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + OWL + 2024-11-18 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/bbc-ontology/ - News and Media - News - 1.37 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw RDF - 19-04-2016 + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 + + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development + + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google + RDF + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file + Industry + Building Information + 0.0.1 + + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + OWL + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 + Creative Commons 4.0 + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 + + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo + OWL + 2020 + Creative Commons 4.0 + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 + + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) + RDF + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 + + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. + OWL + 2022-04-19 + Creative Commons 4.0 + https://github.com/rsc-ontologies/rsc-cmo + Chemistry + + + QUDV + Quantities, Units, Dimensions and Values (QUDV) + The SysML QUDV (Quantities, Units, Dimensions and Values) modelLibrary is specified in a UML/SysML class/block diagram. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, it is of interest to verify that the QUDV model can also be represented in the form of an ontology using a formal ontology definition language. + SysML + OWL + 2009-10-30 + Apache License 2.0 + https://www.omgwiki.org/OMGSysML/doku.php?id=sysml-qudv:qudv_owl + Units and Measurements + 2009-10-30 + + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html Scholarly Knowledge Linguistics + 3.0 + + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 + + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team + OWL + Creative Commons 4.0 + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ + Materials Science and Engineering + Materials Science + 0.2 + + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials + 0.1 + + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. + OWL + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 + + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). + OWL + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology + 1.2 + + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + 0.1 + + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. + OWL + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics + + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco + Materials Science and Engineering + Materials Science + 1.0.0 + + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology + Materials Science and Engineering + Materials Science + 1.0.0 + + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 + + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark + TTL + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics + Materials Science and Engineering + Materials Science + 0.0.1 + + + BBCBusiness + BBC Business News Ontology (BBCBusiness) + The Business News Ontology describes the concepts that occur in BBC business news. + https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed + TTL + 2014-11-09 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/business-news-ontology + News and Media + Business News + 0.5 + + + AUTO + Automotive Ontology (AUTO) + The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. + EDM Council + RDF + 2021-03-01 + MIT + https://github.com/edmcouncil/auto/tree/master + Industry + Automotive + + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 + + + VIMMP + Virtual Materials Marketplace Ontologies (VIMMP) + The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. + Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + OWL + 2021-01-02 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/VIMMP_ONTOLOGIES + Materials Science and Engineering + Materials Modeling + + + GTS + Geologic Timescale model (GTS) + This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. + Simon J D Cox (simon.cox@csiro.au) of CSIRO + TTL + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology + 1.0 + + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James + RDF + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software + + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 + + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp + RDF + 2025-02-21 + Creative Commons 3.0 + http://www.productontology.org/ + Industry 1.0 - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering Scholarly Knowledge - Workflows - 4.0 - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. OWL - Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion + 16 April 2015 + http://www.biopax.org/ + Biology and Life Sciences + Bioinformatics + 1.0 - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik + + PLDO + Planar Defects Ontology (PLDO) + PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/pldo + Materials Science and Engineering + Materials Defects + 1.0.0 + + + DublinCore + Dublin Core Vocabulary (DublinCore) + The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. + The Dublin Core Metadata Initiative + RDF + February 17, 2017 + Public Domain + https://bioportal.bioontology.org/ontologies/DC + General Knowledge + Metadata + 1.1 + + + MSEO + Materials Science and Engineering Ontology (MSEO) + MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. + Thomas Hanke, Fraunhofer IWM TTL - 2019-09 + MIT License + https://github.com/Mat-O-Lab/MSEO + Materials Science and Engineering + Materials Science + + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute + OWL + April 26th, 2024 Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 - - IOF - Industrial Ontology Foundry (IOF) - The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. - IOF Core Working Group - RDF - 2020 - MIT - https://oagi.org/pages/Released-Ontologies - Industry - Manufacturing - 1.0 + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler + TTL + Creative Commons 4.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. Ahmad Zainul Ihsan OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM Materials Science and Engineering Materials Science 1.0 - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ TTL + 2013/12/18 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology + https://www.bbc.co.uk/ontologies/wildlife-ontology News and Media - Sport - 3.2 + Wildlife + 1.1 - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton + OWL + 2018-02-16 + Creative Commons 4.0 + https://github.com/SPAROntologies/cito/tree/master/docs/current + Scholarly Knowledge + Scholarly Communication + 2.8.1 + + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen + TTL + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL + Materials Science and Engineering + Materials Testing + 0.1 + + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group + OWL + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM + Materials Science and Engineering + Materials Science, Engineering, Systems + + + PO + Plant Ontology (PO) + The Plant Ontology (PO) is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. + OWL + Creative Commons 4.0 + https://github.com/Planteome/plant-ontology + Agriculture + Plant Anatomy, Morphology, Growth and Development + + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen RDF - 2018/02/28 + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 + + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 + + + YAGO + YAGO Ontology (YAGO) + YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. It contains knowledge about more than 10 million entities and contains more than 120 million facts about these entities. YAGO is special in several ways: It has a clean taxonomy, which was manually built, and it is the only knowledge base with such a large coverage, the clean taxonomy, and the extraction from Wikipedia, WordNet, and GeoNames. + Max Planck Institute for Informatics + TTL + April, 2024 Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 + https://yago-knowledge.org/downloads/yago-4-5 + General Knowledge + People, Cities, Countries, Movies, Organizations + 4.5 + + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/doco + Education + document components + 1.3 + + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann + OWL + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 + + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook + OWL + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 DOID @@ -1199,234 +1654,140 @@ Medicine Human Diseases - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo - Materials Science and Engineering - Materials Defects - 1.0.0 - - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. - OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 - - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main - Materials Science and Engineering - Materials Science - 0.0.1 - - - BFO - Basic Formal Ontology (BFO) - The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. - University at Buffalo + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR OWL - 2020 Creative Commons 4.0 - https://github.com/BFO-ontology/BFO-2020/ + https://www.loa.istc.cnr.it/index.php/dolce/ Upper Ontology - Basic - 2.0 - - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer - TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge - Materials Science - - - EXPO - Ontology of Scientific Experiments (EXPO) - Formalise generic knowledge about scientific experimental design, methodology, and results representation. - OWL - Academic Free License (AFL) - https://expo.sourceforge.net/ - Scholarly Knowledge - Scientific Experiments - - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST - OWL - 2023-05-25 - Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements + Linguistics, Cognitive Science - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz RDF - 15/09/2022 + 2024-01-30 Creative Commons 4.0 - https://schema.datacite.org/ + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering Scholarly Knowledge - Metadata - 3.1 - - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. - OWL - 01/01/2025 - Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ - Chemistry - Chemical Entities - 239 - - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. - OWL - 2021-10-26 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO - Medicine - Enzyme - 2021-10-26 + 1.0.1 - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University - OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Manufacturing - 2.0 - - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. - OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl - General Knowledge - Relations - 2024-04-24 + Materials - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan - OWL - 2019-02-17 + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. + Knowledge Media Institute, Open University + RDF + 2013/07/22 Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl - Geography - Geographic Knowledge + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 - - BBCPolitics - BBC Politics News Ontology (BBCPolitics) - The Politics Ontology describes the concepts that occur in BBC politics news. - https://www.r4isstatic.com/ - TTL - 2014-01-06 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/politics-ontology - News and Media - Politics - 0.9 + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress + RDF + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl - Materials Science and Engineering + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ Scholarly Knowledge + Research Data Infrastructure + 3.0.0 - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz - TTL - 2023-05-10 + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp + OWL + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce + 1.0 + + + ASMO + Atomistic Simulation Methods Ontology (ASMO) + ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology + https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo Materials Science and Engineering - Manufacturing - 1.0 + Materials Science + 1.0.0 - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton RDF - 2015-07-03 - Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 - - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk - TTL - 2012-12-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media - Provenance - 1.9 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 + + + AS2 + Activity Streams 2.0 Ontology (AS2) + The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + TTL + 23 May 2017 + W3C Document License + https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme + Social Sciences + Social + 2.0 LPBFO @@ -1441,115 +1802,115 @@ Materials Science 1.1.9 - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant - RDF - 2022-01-30 - Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 + + IAO + Information Artifact Ontology (IAO) + The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + OWL + 2022-11-07 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/IAO + General Knowledge + Information, Data, Knowledge - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University - RDF - 2008-05-14 + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ + OWL + 2014-03-12 Creative Commons 4.0 - https://vocab.org/aiiso/ + https://vocab.linkeddata.es/p-plan/index.html Scholarly Knowledge - Academic Institution - 1.0 - - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw - RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 + 1.3 - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/General-Process-Ontology/ontology Materials Science and Engineering Materials Science - 1.1 - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF - Chemistry - 2.1.0 + May 11, 2020 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/ATOL + Agriculture + Animal Science + 6.0 - - MatWerk - NFDI MatWerk Ontology (MatWerk) - NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The MWO addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, MWO represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, MWO facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. - Hossein Beygi Nasrabadi, Jörg Waitelonis, Ebrahim Norouzi, Kostiantyn Hubaiev, Harald Sack + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 + + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center TTL - 2025-03-01 - Creative Commons 1.0 - https://github.com/ISE-FIZKarlsruhe/mwo?tab=readme-ov-file + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS Materials Science and Engineering - Research Data, Interoperability - 3.0.0 + Materials Science + 0.3.0.0 - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts - RDF - 2024-Feb-27 - Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium + OWL + 2025-02-17 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 - - REX - Physico-chemical process ontology (REX) - REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. - University of Warsaw + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. OWL - 2025-03-11 + 2025-02-17 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/REX - Chemistry + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge 1.0 - - VIMMP - Virtual Materials Marketplace Ontologies (VIMMP) - The Virtual Materials Marketplace (VIMMP) project is developing an open platform for providing and accessing services related to materials modelling. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology (EMMO, recently renamed while keeping the original acronym) is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end. - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) OWL - 2021-01-02 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/VIMMP_ONTOLOGIES - Materials Science and Engineering - Materials Modeling + March 11, 2018 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 ONTORULE @@ -1563,207 +1924,131 @@ Materials Science and Engineering Materials Science - - AS2 - Activity Streams 2.0 Ontology (AS2) - The Activity Streams 2.0 ontology is a vocabulary for describing social activities and actions. It is based on the Activity Streams 2.0 specification and provides a set of classes and properties for describing activities on the web. + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ TTL - 23 May 2017 - W3C Document License - https://github.com/w3c/activitystreams?tab=License-1-ov-file#readme - Social Sciences - Social - 2.0 - - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier - OWL - 03/25/2024 + 2014-01-06 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 + https://www.bbc.co.uk/ontologies/politics-ontology + News and Media + Politics + 0.9 - - DSIM - Dislocation Simulation and Model Ontology (DSIM) - Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. - Ahmad Zainul Ihsan - OWL - 17.08.2023 + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + TTL + 2024-01-29 Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://github.com/OCDO/DSIM + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html Materials Science and Engineering Materials Science - 1.0 - - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry - RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine - - - PLDO - Planar Defects Ontology (PLDO) - PLDO is an ontology designed to describe planar defects in crystalline materials, such as grain boundaries and stacking faults, with a focus on their atomic-scale structure and properties. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/pldo - Materials Science and Engineering - Materials Defects - 1.0.0 + 2.0 - - ASMO - Atomistic Simulation Methods Ontology (ASMO) - ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process. - https://orcid.org/0000-0001-7564-7990 + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo - Materials Science and Engineering - Materials Science - 1.0.0 + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO + Units and Measurements - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission - RDF - 2023-10-19 + + Metadata4Ing + Metadata for Intelligent Engineering (Metadata4Ing) + The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. + Metadata4Ing Workgroup + TTL + 2025-03-10 Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing Scholarly Knowledge - Research Information - 2.4 + Materials Science + 1.3.1 - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 + + BBC + BBC Ontology (BBC) + The BBC ontology codifies the logic that connects web documents, BBC products and platforms for which content is available. Currently, there are 10 major products in Future Media which produce content for BBC online. The majority of those contain more products dedicated in thematic areas, for example Education propositions are part of the K&L (Knowledge and Learning) product portfolio. + LinkedData@bbc.co.uk + TTL + 2012-12-01 Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development + https://www.bbc.co.uk/ontologies/bbc-ontology/ + News and Media + News + 1.37 - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) - RDF - 2025-03-01 + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master - Industry - Provenance - 1.0.0 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 - - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology - Materials Science and Engineering - Materials Science - 0.4.3 + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv Materials Science and Engineering Materials Science 1.0.0 - - DOLCE - Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) - The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. - Laboratory for Applied Ontology, ISTC-CNR - OWL - Creative Commons 4.0 - https://www.loa.istc.cnr.it/index.php/dolce/ - Upper Ontology - Linguistics, Cognitive Science - - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World - TTL - 2025-01-22 - Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics - - - FAIR - FAIR Vocabulary (FAIR) - This is the formal vocabulary (ontology) describing the FAIR principles. - OWL - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/FAIR - Upper Ontology - Data, Metadata - - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. - OWL - 2025-01-09 - Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master - Medicine - Biomedical Investigations - - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober OWL - 24.09.2024 + 2017-10-19 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam - General Knowledge - General - 1.25-20240924T0027Z-unstable(1.26) + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 + + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller + RDF + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 BBCProgrammes @@ -1790,249 +2075,65 @@ Events Conferences - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton - OWL - 2018-02-16 - Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current - Scholarly Knowledge - Scholarly Communication - 2.8.1 - - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. - OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO - Materials Science and Engineering - Materials Science - - - DBpedia - DBpedia Ontology (DBpedia) - The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. - DBpedia Maintainers and Contributors - OWL - 2008-11-17 - Creative Commons 3.0 - https://wiki.dbpedia.org/ - General Knowledge - Knowledge Graph - - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. - OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX - Chemistry - Chemicals, Properties - 2020-04-13 - - - DUO - Data Use Ontology (DUO) - DUO is an ontology which represent data use conditions. - OWL - 2025-02-17 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/DUO/ - Scholarly Knowledge - 1.0 - - - AgrO - Agronomy Ontology (AgrO) - An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. - The Crop Ontology Consortium - RDF - 2022-11-02 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGRO?p=summary - Agriculture - Agronomy - 1.0 - - - IAO - Information Artifact Ontology (IAO) - The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch. + + SchemaOrg + Schema.org Ontology (SchemaOrg) + Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. + Schema.org Community OWL - 2022-11-07 + 2024-11-22 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/IAO + https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl General Knowledge - Information, Data, Knowledge - - - BBCBusiness - BBC Business News Ontology (BBCBusiness) - The Business News Ontology describes the concepts that occur in BBC business news. - https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed - TTL - 2014-11-09 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/business-news-ontology - News and Media - Business News - 0.5 - - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor - OWL - Feb. 9, 2007 - Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 - - - DOAP - The Description of a Project vocabulary (DOAP) - The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. - Edd Wilder-James - RDF - 2020-04-03 - Apache License 2.0 - https://github.com/ewilderj/doap/blob/master/schema/doap.rdf - Industry - Software - - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). - OWL - 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 - - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 - TTL - 2024-04-12 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology - Materials Science and Engineering - Materials Science - 1.0.0 - - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London - RDF - 2007-10-25 - Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works - 1.0 - - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen - RDF - 2022-02-01 - Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ - Industry - Building Services - 0.3.0 + Web Development + 28.1 - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš OWL - Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ - Materials Science and Engineering - Materials Science - 0.2 - - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. - TTL - 2014/03/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 - - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ - TTL - 2013/12/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology - News and Media - Wildlife - 1.1 - - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 - Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html - Education - Library, Museums, Archives - 2.5.0 + 24.09.2024 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM - Materials Science and Engineering - Materials Science, Engineering, Systems + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - AUTO - Automotive Ontology (AUTO) - The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. - EDM Council - RDF - 2021-03-01 - MIT - https://github.com/edmcouncil/auto/tree/master - Industry - Automotive + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + OWL + 2025-01-09 + Creative Commons 4.0 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations + + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University + OWL + Creative Commons 4.0 + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 MicroStructures @@ -2043,6 +2144,19 @@ Materials Science and Engineering Microstructure + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + OWL + Feb. 9, 2007 + Creative Commons 4.0 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 + Juso Juso Ontology (Juso) @@ -2056,30 +2170,29 @@ geographical knowledge 0.1.1 - - MOLBRINELL - MatoLab Brinell Test Ontology (MOL_BRINELL) - An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. - Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen - TTL - 05/05/2022 - https://matportal.org/ontologies/MOL_BRINELL - Materials Science and Engineering - Materials Testing - 0.1 + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file - Biology and Life Sciences - Materials Science - 2013-05-31 + 2019-02-17 + Creative Commons 4.0 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge FSO @@ -2094,140 +2207,27 @@ Materials Science 0.1.0 - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) - OWL - 2022-08-02 - Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ - Materials Science and Engineering - Materials Design - 1.1 - - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). - OWL - 2025-02-01 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 - - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant - RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 - - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing - Materials Science and Engineering - Mechanical Testing - 1.0.0 - - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE OWL - 2025-01-16 + 08 February 2022 Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl - Agriculture - Diet, Metabolomics, and Nutrition + https://www.ontologyportal.org/ + Chemistry + 1.0 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2019-12-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering Materials - 0.1 - - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> - OWL - 2018-02-15 - Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# - Scholarly Knowledge - Linguistics - 2018a - - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk - TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology - News and Media - Content Management Systems - 3.7 - - - MSEO - Materials Science and Engineering Ontology (MSEO) - MSEO utilizes the IOF Ontology stack giving materials scientists and engineers the ability to represent their experiments and resulting data. The goal is to create machine and human readable sematic data which can be easily digested by other science domains. It is a product of the joint venture Materials Open Lab Project between the Bundesanstalt für Materialforschung und -prüfung (BAM) and the Fraunhofer Group MATERIALS and uses the BWMD ontology created by Fraunhofer IWM as a starting point. - Thomas Hanke, Fraunhofer IWM - TTL - MIT License - https://github.com/Mat-O-Lab/MSEO - Materials Science and Engineering - Materials Science - - - PTO - Product Types Ontology (PTO) - The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. - Martin Hepp - RDF - 2025-02-21 - Creative Commons 3.0 - http://www.productontology.org/ - Industry - 1.0 - - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE - Materials Science and Engineering - Materials Testings - 0.4 \ No newline at end of file From 4b6044a3bc81911a32c60c212a2594d63474e278 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 9 Sep 2025 18:15:53 +0200 Subject: [PATCH 44/50] :pencil2: add trust_remote_code=True for retrievers --- ontolearner/base/learner.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ontolearner/base/learner.py b/ontolearner/base/learner.py index 320678bb..193acde5 100644 --- a/ontolearner/base/learner.py +++ b/ontolearner/base/learner.py @@ -331,7 +331,7 @@ def load(self, model_id: str) -> None: Raises: NotImplementedError: If not implemented by concrete class. """ - self.embedding_model = SentenceTransformer(model_id) + self.embedding_model = SentenceTransformer(model_id, trust_remote_code=True) def index(self, inputs: List[str]): """ From 055b2e5ef559f06034bf8e635abed49464516065 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 9 Sep 2025 18:17:46 +0200 Subject: [PATCH 45/50] :bookmark: v1.4.4 --- CHANGELOG.md | 3 +++ CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 5 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 641bf1b0..3130b8b6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,8 @@ ## Changelog +### v1.4.4 (September 9, 2025) +- add `trust_remote_code=True` for retrievers like Nomic-AI + ### v1.4.3 (September 7, 2025) - Update dependencies - fix bug in learner diff --git a/CITATION.cff b/CITATION.cff index 16115f69..4a934bd2 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.4.3 +version: 1.4.4 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 428b770e..1c99cf0e 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.4.3 +1.4.4 From 7f4f86eb12322f17e5e0d44a8b5294fe4a7e27cc Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 16 Sep 2025 13:12:55 +0200 Subject: [PATCH 46/50] :sparkles: add batch retriever --- ontolearner/base/learner.py | 34 ++++++++++++++++++-------------- ontolearner/learner/retriever.py | 5 +++-- 2 files changed, 22 insertions(+), 17 deletions(-) diff --git a/ontolearner/base/learner.py b/ontolearner/base/learner.py index 193acde5..93d67573 100644 --- a/ontolearner/base/learner.py +++ b/ontolearner/base/learner.py @@ -350,7 +350,7 @@ def index(self, inputs: List[str]): self.documents = inputs self.embeddings = self.embedding_model.encode(inputs, convert_to_tensor=True) - def retrieve(self, query: List[str], top_k: int = 5) -> List[List[str]]: + def retrieve(self, query: List[str], top_k: int = 5, batch_size: int = -1) -> List[List[str]]: """ Retrieve the top-k most similar examples for each query in a list of queries. @@ -363,33 +363,37 @@ def retrieve(self, query: List[str], top_k: int = 5) -> List[List[str]]: """ if self.embeddings is None: raise RuntimeError("Retriever model must index documents before prediction.") - - # Encode all queries at once query_embeddings = self.embedding_model.encode(query, convert_to_tensor=True) # shape: [num_queries, dim] - if query_embeddings.shape[-1] != self.embeddings.shape[-1]: raise ValueError( f"Embedding dimension mismatch: query embedding dim={query_embeddings.shape[-1]}, " f"document embedding dim={self.embeddings.shape[-1]}" ) - - # Normalize embeddings for cosine similarity - query_norm = F.normalize(query_embeddings, p=2, dim=1) doc_norm = F.normalize(self.embeddings, p=2, dim=1) + if batch_size == -1: + results = self._retrieve(query_embeddings=query_embeddings, doc_norm=doc_norm, top_k=top_k) + else: + results = self._batch_retrieve(query_embeddings=query_embeddings, doc_norm=doc_norm, top_k=top_k, batch_size=batch_size) + return results - # Compute cosine similarity: [num_queries, num_docs] - similarity_matrix = torch.matmul(query_norm, doc_norm.T) - - # Get top-k indices for each query - top_k = min(top_k, len(self.documents)) - topk_similarities, topk_indices = torch.topk(similarity_matrix, k=top_k, dim=1) - # Retrieve documents for each query + def _retrieve(self, query_embeddings, doc_norm, top_k: int = 5) -> List[List[str]]: + query_norm = F.normalize(query_embeddings, p=2, dim=1) + similarity_matrix = torch.matmul(query_norm, doc_norm.T) + current_top_k = min(top_k, len(self.documents)) + topk_similarities, topk_indices = torch.topk(similarity_matrix, k=current_top_k, dim=1) results = [[self.documents[i] for i in indices] for indices in topk_indices] - return results + def _batch_retrieve(self, query_embeddings, doc_norm, top_k: int = 5, batch_size: int = 1024) -> List[List[str]]: + results = [] + for i in range(0, query_embeddings.size(0), batch_size): + batch_queries = query_embeddings[i:i + batch_size] + batch_results = self._retrieve(batch_queries, doc_norm, top_k=top_k) + results.extend(batch_results) + return results + class AutoPrompt(ABC): """ Abstract base class for prompt formatting components. diff --git a/ontolearner/learner/retriever.py b/ontolearner/learner/retriever.py index 643fb588..ae78c24b 100644 --- a/ontolearner/learner/retriever.py +++ b/ontolearner/learner/retriever.py @@ -17,12 +17,13 @@ import warnings class AutoRetrieverLearner(AutoLearner): - def __init__(self, base_retriever: Any = AutoRetriever(), top_k: int = 5): + def __init__(self, base_retriever: Any = AutoRetriever(), top_k: int = 5, batch_size: int = -1): super().__init__() self.retriever = base_retriever self.top_k = top_k self._is_term_typing_fit = False self._is_taxonomy_discovery_fit = False + self._batch_size = batch_size def load(self, model_id: str = "sentence-transformers/all-MiniLM-L6-v2"): self.retriever.load(model_id=model_id) @@ -35,7 +36,7 @@ def _retriever_fit(self, data: Any): def _retriever_predict(self, data:Any, top_k: int) -> Any: if isinstance(data, list): - return self.retriever.retrieve(query=data, top_k=top_k) + return self.retriever.retrieve(query=data, top_k=top_k, batch_size=self._batch_size) if isinstance(data, str): return self.retriever.retrieve(query=[data], top_k=top_k) raise TypeError(f"Unsupported data type {type(data)}. You should pass a List[str] or a str.") From 7f171431da0c86b2bc44d4a020d66a99c3f0f379 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 16 Sep 2025 13:13:16 +0200 Subject: [PATCH 47/50] :memo: add short note on batch retriever --- docs/source/learners/retrieval.rst | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/docs/source/learners/retrieval.rst b/docs/source/learners/retrieval.rst index cba4f308..9cd39599 100644 --- a/docs/source/learners/retrieval.rst +++ b/docs/source/learners/retrieval.rst @@ -70,6 +70,14 @@ You will see a evaluations results. * T5 models (e.g., "google/flan-t5-base") * Nomic-AI models +When working with large contexts, the retriever model may encounter memory issues. To address this, OntoLearner’s ``AutoRetrieverLearner`` provides a ``batch_size`` argument. By setting this, the retriever computes similarities in smaller batches instead of calculating the full cosine similarity across all stored knowledge embeddings at once, reducing memory usage and improving efficiency. To use this, simply: + +.. code-block:: python + + ret_learner = AutoRetrieverLearner(top_k=5, batch_size=1024) + + + Pipeline Usage ----------------------- From ab98645d109c7f29fb5cd56e78c58e853c2742d9 Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 16 Sep 2025 13:13:40 +0200 Subject: [PATCH 48/50] :pencil2: minor fix --- examples/retriever_learner.py | 1 + 1 file changed, 1 insertion(+) diff --git a/examples/retriever_learner.py b/examples/retriever_learner.py index c507b43f..21114529 100644 --- a/examples/retriever_learner.py +++ b/examples/retriever_learner.py @@ -9,6 +9,7 @@ train_data, test_data = train_test_split(ontology.extract(), test_size=0.2, random_state=42) # Initialize a retriever-style learner for relation extraction tasks +# batch_size is being used inside the AutoRetrieverLearner to allow for larger KB retrieval! ret_learner = AutoRetrieverLearner(top_k=5) # Load a pre-trained retriever model using its identifier From 5a391d5d063d9b74129217a22d84b67fdfce0b0f Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 16 Sep 2025 13:16:00 +0200 Subject: [PATCH 49/50] :bookmark: v1.4.5 --- CHANGELOG.md | 4 ++++ CITATION.cff | 2 +- ontolearner/VERSION | 2 +- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 3130b8b6..08523a07 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,9 @@ ## Changelog +### v1.4.5 (September 16, 2025) +- add batch retriever feature to `AutoRetrieverLearner` + + ### v1.4.4 (September 9, 2025) - add `trust_remote_code=True` for retrievers like Nomic-AI diff --git a/CITATION.cff b/CITATION.cff index 4a934bd2..46cf53c6 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -31,5 +31,5 @@ keywords: - Large Language Models - Text-to-ontology license: MIT -version: 1.4.4 +version: 1.4.5 date-released: '2025' diff --git a/ontolearner/VERSION b/ontolearner/VERSION index 1c99cf0e..e516bb9d 100644 --- a/ontolearner/VERSION +++ b/ontolearner/VERSION @@ -1 +1 @@ -1.4.4 +1.4.5 From 3ca7b46e8200b5a731eb5a6a477e5463c6112fcb Mon Sep 17 00:00:00 2001 From: Hamed Babaei Giglou Date: Tue, 16 Sep 2025 13:11:09 +0200 Subject: [PATCH 50/50] :bookmark: Update metadata after release (#275) Co-authored-by: HamedBabaei <26560419+HamedBabaei@users.noreply.github.com> --- metadata/ontolearner-metadata.rdf | 3442 ++++++++++++++--------------- 1 file changed, 1721 insertions(+), 1721 deletions(-) diff --git a/metadata/ontolearner-metadata.rdf b/metadata/ontolearner-metadata.rdf index 626a6249..6642d7e1 100644 --- a/metadata/ontolearner-metadata.rdf +++ b/metadata/ontolearner-metadata.rdf @@ -5,362 +5,261 @@ This Dublin Core metadata collection describes ontologies benchmarked in OntoLearner. It includes information such as title, creator, format, license, and version. OntoLearner Team MIT License - 1.4.4 + 1.4.5 - - NCIt - NCI Thesaurus (NCIt) - NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. - OWL - 2023-10-19 + + AIISO + Academic Institution Internal Structure Ontology (AIISO) + The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. + Open University + RDF + 2008-05-14 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NCIT - Medicine - Cancer, Oncology - 24.04e - - - Atomistic - Atomistic Ontology (Atomistic) - An EMMO-based domain ontology for atomistic and electronic modelling. - Francesca L. Bleken, Jesper Friis - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-atomistic - Materials Science and Engineering - Materials Science - 0.0.2 + https://vocab.org/aiiso/ + Scholarly Knowledge + Academic Institution + 1.0 - - OIEMaterials - Open Innovation Environment Materials (OIEMaterials) - The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + + OntoCAPE + Ontology of Computer-Aided Process Engineering (OntoCAPE) + OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. + RWTH Aachen University + OWL + GNU General Public License. + https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 Materials Science and Engineering - Materials - - - CCO - Common Core Ontologies (CCO) - The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. - TTL - 2024-11-06 - BSD-3-Clause license - https://github.com/CommonCoreOntology/CommonCoreOntologies - General Knowledge - General + Manufacturing 2.0 - - SEPIO - Scientific Evidence and Provenance Information Ontology (SEPIO) - The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl + + BFO + Basic Formal Ontology (BFO) + The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. + University at Buffalo OWL - 2015-02-23 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SEPIO - Scholarly Knowledge - Scientific Evidence - - - PRotein - Protein Ontology (PRO) - The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. - RDF - 08:08:2024 - Creative Commons 4.0 - http://purl.obolibrary.org/obo/pr.owl - Medicine - Protein - 1.2 - - - BBCProvenance - BBC Provenance News Ontology (BBCProvenance) - An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. - LinkedData@bbc.co.uk - TTL - 2012-12-01 + 2020 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/provenance-ontology - News and Media - Provenance - 1.9 - - - OWLTime - Time Ontology in OWL (OWL-Time) - OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. - World Wide Web Consortium - TTL - 15 November 2022 - W3C Software Notice and Document License - https://www.w3.org/TR/owl-time/ - Units and Measurements - Temporal Reasoning - 1.0 - - - iCalendar - iCalendar Vocabulary (iCalendar) - iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. - Dan Connolly, W3C, Libby Miller, ASemantics - RDF - 2004/04/07 - Open Publication License - https://www.w3.org/2002/12/cal/ - Events - Calendar and Scheduling - 1.14 + https://github.com/BFO-ontology/BFO-2020/ + Upper Ontology + Basic + 2.0 - - EFO - Experimental Factor Ontology (EFO) - The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). + + ENM + Environmental Noise Measurement Ontology (ENM) + The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. + eNanoMapper Consortium OWL 2025-02-17 - Apache 2.0 - https://www.ebi.ac.uk/efo - Biology and Life Sciences - Biology - 3.75.0 + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/ENM + Medicine + Material Science and Engineering + 10.0 - - FRBRoo - Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) - The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. - RDF - November 2015 + + CiTO + Citation Typing Ontology (CiTO) + The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. + Silvio Peroni, David Shotton + OWL + 2018-02-16 Creative Commons 4.0 - https://ontome.net/namespace/6#summary + https://github.com/SPAROntologies/cito/tree/master/docs/current Scholarly Knowledge - Bibliographic Records - 2.4 + Scholarly Communication + 2.8.1 - - IOF - Industrial Ontology Foundry (IOF) - The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. - IOF Core Working Group + + SIOC + Semantically-Interlinked Online Communities (SIOC) + The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. + Data Science Institute, NUI Galway RDF - 2020 - MIT - https://oagi.org/pages/Released-Ontologies - Industry - Manufacturing - 1.0 + 2018/02/28 + Creative Commons 3.0 + http://rdfs.org/sioc/spec/ + Social Sciences + Social Networks + 1.36 - - MOP - Molecular Process Ontology (MOP) - MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. + + PeriodicTable + Periodic Table of the Elements Ontology (PeriodicTable) + PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. + Michael Cook OWL - 2022-05-11 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/MOP - Chemistry - Chemistry, Molecular Biology - 2022-05-11 - - - CopyrightOnto - Copyright Ontology (CopyrightOnto) - The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. - Rhizomik - TTL - 2019-09 - Creative Commons 4.0 - https://rhizomik.net/ontologies/copyrightonto/ - Law - Legal Knowledge + 2004/02/05 + https://www.daml.org/2003/01/periodictable/ + Materials Science and Engineering + Periodic Table of Elements + 1.10 - - QUDT - Quantities, Units, Dimensions and Data Types (QUDT) - QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. - NASA Ames Research Center - TTL - March 1, 2022 - Creative Commons 4.0 - https://qudt.org/ - Units and Measurements - Physics - 2.1 + + MechanicalTesting + Mechanical Testing Ontology (MechanicalTesting) + A domain ontology for mechanical testing based on EMMO. + Fraunhofer IWM + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-mechanical-testing + Materials Science and Engineering + Mechanical Testing + 1.0.0 - - ChordOntology - Chord Ontology (ChordOntology) - The Chord Ontology is an ontology for describing chords in musical pieces. - Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London - RDF - 2007-10-25 - Creative Commons 3.0 - https://github.com/motools/chordontology - Arts and Humanities - Musical Works + + DSIM + Dislocation Simulation and Model Ontology (DSIM) + Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. + Ahmad Zainul Ihsan + OWL + 17.08.2023 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://github.com/OCDO/DSIM + Materials Science and Engineering + Materials Science 1.0 - - CHIRO - CHEBI Integrated Role Ontology (CHIRO) - CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. + + EMMO + The Elementary Multiperspective Material Ontology (EMMO) + The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. + European Materials Modelling Council (EMMC) OWL - 2015-11-23 - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/chiro - Chemistry - Chemicals, Roles - 2015-11-23 + 2024-03 + Creative Commons 4.0 + https://emmo-repo.github.io/ + Materials Science and Engineering + Materials Modelling + 1.0.0-rc3 - - PreMOn - Pre-Modern Ontology (PreMOn) - The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. - Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + + NFDIcore + National Research Data Infrastructure Ontology (NFDIcore) + The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. + Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack OWL - 2018-02-15 - Creative Commons 4.0 - https://premon.fbk.eu/ontology/core# + 2025-02-07 + Creative Commons 1.0 + https://ise-fizkarlsruhe.github.io/nfdicore/ Scholarly Knowledge - Linguistics - 2018a + Research Data Infrastructure + 3.0.0 - - OBOE - Extensible Observation Ontology (OBOE) - The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. - The Regents of the University of California + + PATO + Phenotype and Trait Ontology (PATO) + An ontology of phenotypic qualities (properties, attributes or characteristics). OWL - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/OBOE - Scholarly Knowledge - Scientific Observation + 2025-02-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/PATO + Biology and Life Sciences + Biology 1.2 - - AgrO - Agronomy Ontology (AgrO) - An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. - The Crop Ontology Consortium + + GeoNames + GeoNames Ontology (GeoNames) + The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. + Bernard Vatant RDF - 2022-11-02 - Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGRO?p=summary - Agriculture - Agronomy - 1.0 + 2022-01-30 + Creative Commons 3.0 + https://www.geonames.org/ontology + Geography + Geographic Knowledge + 3.3 - - VOAF - Vocabulary of a Friend (VOAF) - The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. - Bernard Vatant + + ENVO + Environment Ontology (ENVO) + ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. + Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) + OWL + 2024-07-01 + Creative Commons 1.0 + https://obofoundry.org/ontology/envo.html + Ecology and Environment + Environment, Ecosystems, Habitats + 2024-07-01 + + + BIBFRAME + Bibliographic Framework Ontology (BIBFRAME) + The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. + United States, Library of Congress RDF - 2013-05-24 - Creative Commons 3.0 - https://lov.linkeddata.es/vocommons/voaf/v2.3/ - Scholarly Knowledge - Social Network - 2.3 + 2022-10-03 + Creative Commons 1.0 + https://id.loc.gov/ontologies/bflc.html + Education + Library, Museums, Archives + 2.5.0 - - MDO - Materials Design Ontology (MDO) - MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. - Materials Design Division, National Institute for Materials Science (NIMS) + + PODO + Point Defects Ontology (PODO) + PODO focuses on the description of point defects in crystalline materials. + https://orcid.org/0000-0001-7564-7990 OWL - 2022-08-02 - Creative Commons 4.0 - https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/podo Materials Science and Engineering - Materials Design - 1.1 - - - RXNO - Reaction Ontology (RXNO) - RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. - OWL - 2021-12-16 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rxno - Chemistry + Materials Science + 1.0.0 - - SWEET - Semantic Web for Earth and Environment Technology Ontology (SWEET) - The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). - NASA, JPL, Caltech + + PMDco + The Platform MaterialDigital core ontology (PMDco) + The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. + Jannis Grundmann OWL - July 14, 2022 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SWEET - Ecology and Environment - Earth Science, Geoscience - 3.6.0 + 2025-03-20 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/core-ontology?tab=readme-ov-file + Materials Science and Engineering + Materials Science + 3.0.0-alpha1 - - AFO - Allotrope Foundation Ontology (AFO) - The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. - Allotrope Foundation + + Metadata4Ing + Metadata for Intelligent Engineering (Metadata4Ing) + The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. + Metadata4Ing Workgroup TTL - 2024-06-28 - CC BY 4.0 - https://terminology.tib.eu/ts/ontologies/AFO - Chemistry - Laboratory Analytical Processes - 2024-06 - - - SWO - Software Ontology (SWO) - The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. - Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens - OWL - 2013-07-01 + 2025-03-10 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/SWO + https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing Scholarly Knowledge - Software - 1.0 + Materials Science + 1.3.1 - - WiLD - Workflows in Linked Data (WiLD) - Ontology to describe Workflows in Linked Data. - Tobias Käfer + + ONTORULE + Ontology for the Steel Domain (ONTORULE) + This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. + Diego Daz TTL - 2020-06-10 - DBpedia License - https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 - Scholarly Knowledge + 2010-05-31 + N/A + https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl + Materials Science and Engineering Materials Science - - REX - Physico-chemical process ontology (REX) - REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. - University of Warsaw - OWL - 2025-03-11 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/REX - Chemistry - 1.0 - - - EXPO - Ontology of Scientific Experiments (EXPO) - Formalise generic knowledge about scientific experimental design, methodology, and results representation. + + NPO + NanoParticle Ontology (NPO) + NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. + Dennis G. Thomas OWL - Academic Free License (AFL) - https://expo.sourceforge.net/ - Scholarly Knowledge - Scientific Experiments + 2013-05-31 + BSD-3-Clause license + https://github.com/sobolevnrm/npo?tab=readme-ov-file + Biology and Life Sciences + Materials Science + 2013-05-31 MAT @@ -374,78 +273,150 @@ Materials Properties 0.0.8 - - MSLE - Material Science Lab Equipment Ontology (MSLE) - The current ontology describes Material Science Lab Equipment. + + BBCWildlife + BBC Wildlife Ontology (BBCWildlife) + A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. + https://www.ldodds.com#me, http://tomscott.name/ TTL - Sep 15, 2022 - https://github.com/MehrdadJalali-AI/MSLE-Ontology - Materials Science and Engineering - Materials Science + 2013/12/18 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/wildlife-ontology + News and Media + Wildlife 1.1 - - OntoCAPE - Ontology of Computer-Aided Process Engineering (OntoCAPE) - OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources. - RWTH Aachen University + + PRotein + Protein Ontology (PRO) + The PRotein Ontology (PRO) formally defines taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. + RDF + 08:08:2024 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/pr.owl + Medicine + Protein + 1.2 + + + GFO + General Formal Ontology (GFO) + The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. OWL - GNU General Public License. - https://www.avt.rwth-aachen.de/cms/avt/forschung/sonstiges/software/~ipts/ontocape/?lidx=1 + 2024-11-18 + Creative Commons 4.0 + https://onto-med.github.io/GFO/release/2024-11-18/index-en.html + Upper Ontology + + + OIECharacterisation + Open Innovation Environment Characterisation (OIECharacterisation) + EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. + Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Manufacturing - 2.0 + Materials - - DISO - Dislocation Ontology (DISO) - DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. - Ahmad Zainul Ihsan + + FRAPO + Funding, Research Administration and Projects Ontology (FRAPO) + The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. + David Shotton + RDF + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/frapo + Scholarly Knowledge + Administration + + + CHEMINF + Chemical Information Ontology (CHEMINF) + The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. + Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko OWL - 21.03.202 - Creative Commons Attribution 3.0 International (CC BY 3.0) - https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology - Materials Science and Engineering - Materials Science - 1.0 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/CHEMINF + Chemistry + 2.1.0 - - BBCCreativeWork - BBC Creative Work Ontology (BBCCreativeWork) - This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). - LinkedData@bbc.co.uk - TTL - 2012-12-01 + + MGED + MGED Ontology (MGED) + An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 + Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor + OWL + Feb. 9, 2007 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/creative-work-ontology - News and Media - Creative Work - 1.19 + https://mged.sourceforge.net/ontologies/MGEDontology.php/ + Biology and Life Sciences + Domain Ontology + 1.3.1.1 - - CMSO - Computational Material Sample Ontology (CMSO) - CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. - https://orcid.org/0000-0001-7564-7990 + + CSO + Computer Science Ontology (CSO) + The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + Knowledge Media Institute, Open University OWL + Creative Commons 4.0 + https://cso.kmi.open.ac.uk/home + Scholarly Knowledge + Computer Science + 3.4 + + + AMOntology + Additive Manufacturing Ontology (AMOntology) + The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. + Iassou Souroko, Ali Riza Durmaz + TTL + 2023-05-10 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cmso/tree/main + https://github.com/iassouroko/AMontology Materials Science and Engineering - Materials Science - 0.0.1 + Manufacturing + 1.0 - - LDO - Line Defect Ontology (LDO) - LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. - https://orcid.org/0000-0001-7564-7990 + + ICON + Icon Ontology (ICON) + The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. + Knowledge Media Institute OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/ldo - Materials Science and Engineering - Materials Defects - 1.0.0 + April 26th, 2024 + Creative Commons 4.0 + https://w3id.org/icon/ontology/ + Arts and Humanities + Art History, Cultural Heritage + 2.1.0 + + + DoCO + Document Components Ontology (DoCO) + DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. + David Shotton and Silvio Peroni + RDF + 2015-07-03 + Creative Commons 4.0 + http://www.sparontologies.net/ontologies/doco + Education + document components + 1.3 + + + AFO + Allotrope Foundation Ontology (AFO) + The AFO is an ontology suite that provides a standard vocabulary and semantic model for the representation of laboratory analytical processes. The AFO suite is aligned at the upper layer to the Basic Formal Ontology (BFO). The core domains modeled include, Equipment, Material, Process, and Results. This artifact contains all triples of Allotrope Foundation Merged Without QUDT Ontology Suite (REC/2023/12) together with triples inferred with HermiT. + Allotrope Foundation + TTL + 2024-06-28 + CC BY 4.0 + https://terminology.tib.eu/ts/ontologies/AFO + Chemistry + Laboratory Analytical Processes + 2024-06 MassSpectrometry @@ -459,155 +430,179 @@ Chemistry Mass Spectrometry, Proteomics - - Wine - Wine Ontology (Wine) - A project to define an RDF style ontology for wines and the wine-industry - RDF - https://github.com/UCDavisLibrary/wine-ontology - Food and Beverage - Wine - - - SIO - Semanticscience Integrated Ontology (SIO) - The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. - M. Dumontier + + OBI + Ontology for Biomedical Investigations (OBI) + The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. OWL - 03/25/2024 + 2025-01-09 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/SIO - Upper Ontology - Basic - 1.59 + https://github.com/obi-ontology/obi/tree/master + Medicine + Biomedical Investigations - - EMMO - The Elementary Multiperspective Material Ontology (EMMO) - The Elementary Multiperspective Material Ontology (EMMO) is the result of a multidisciplinary effort within the EMMC, aimed at the development of a standard representational ontology framework based on current materials modelling and characterization knowledge. Instead of starting from general upper level concepts, as done by other ontologies, the EMMO development started from the very bottom level, using the actual picture of the physical world coming from applied sciences, and in particular from physics and material sciences. - European Materials Modelling Council (EMMC) + + OEO + The Open Energy Ontology (OEO) + The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. OWL - 2024-03 + 03/2025 + Creative Commons Attribution 1.0 Generic (CC BY 1.0) + https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file + Ecology and Environment + Energy + 2.7.0 + + + RO + Relation Ontology (RO) + The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + OWL + 2024-04-24 + CC0 + http://purl.obolibrary.org/obo/ro.owl + General Knowledge + Relations + 2024-04-24 + + + AGROVOC + AGROVOC Multilingual Thesaurus (AGROVOC) + AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. + Food and Agriculture Organization of the United Nations + RDF + August 12, 2024 Creative Commons 4.0 - https://emmo-repo.github.io/ - Materials Science and Engineering - Materials Modelling - 1.0.0-rc3 + https://agroportal.lirmm.fr/ontologies/AGROVOC + Agriculture + Agricultural Knowledge + 2024-04 - - BBCStoryline - BBC Storyline Ontology (BBCStoryline) - The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. - http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + + BBCSport + BBC Sport Ontology (BBCSport) + The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. + https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride TTL - 2013-05-01 Creative Commons 4.0 - https://iptc.org/thirdparty/bbc-ontologies/storyline.html + https://www.bbc.co.uk/ontologies/sport-ontology News and Media - Storyline - 0.3 + Sport + 3.2 - - NPO - NanoParticle Ontology (NPO) - NanoParticle Ontology (NPO) is developed within the framework of the Basic Formal Ontology (BFO), and implemented in the Ontology Web Language (OWL) using well-defined ontology design principles. The NPO was developed to represent knowledge underlying the preparation, chemical composition, and characterization of nanomaterials involved in cancer research. Public releases of the NPO are available through BioPortal website, maintained by the National Center for Biomedical Ontology. Mechanisms for editorial and governance processes are being developed for the maintenance, review, and growth of the NPO. - Dennis G. Thomas + + ChordOntology + Chord Ontology (ChordOntology) + The Chord Ontology is an ontology for describing chords in musical pieces. + Yves Raimond, Samer Abdallah, Centre for Digital Music, Queen Mary, University of London + RDF + 2007-10-25 + Creative Commons 3.0 + https://github.com/motools/chordontology + Arts and Humanities + Musical Works + 1.0 + + + EFO + Experimental Factor Ontology (EFO) + The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases, and for projects such as the GWAS catalog. It combines parts of several biological ontologies, such as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. The scope of EFO is to support the annotation, analysis and visualization of data handled by many groups at the EBI and as the core ontology for Open Targets. EFO is developed by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). OWL - 2013-05-31 - BSD-3-Clause license - https://github.com/sobolevnrm/npo?tab=readme-ov-file + 2025-02-17 + Apache 2.0 + https://www.ebi.ac.uk/efo Biology and Life Sciences - Materials Science - 2013-05-31 + Biology + 3.75.0 - - SPDocument - SMART Protocols Ontology: Document Module (SP-Document) - SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. - http://oxgiraldo.wordpress.com + + GO + Gene Ontology (GO) + The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols - Scholarly Knowledge - Materials Science - 4.0 - - - AMOntology - Additive Manufacturing Ontology (AMOntology) - The AM ontology has been developed following two major milestones. The ontology developed within the first milestone includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge about characteristics of computational models for AM processes. - Iassou Souroko, Ali Riza Durmaz - TTL - 2023-05-10 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/iassouroko/AMontology - Materials Science and Engineering - Manufacturing - 1.0 + 2024-11-03 + Creative Commons 4.0 + https://geneontology.org/docs/download-ontology/ + Biology and Life Sciences + Molecular Biology, Genetics - - PROV - PROV Ontology (PROV-O) - The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. + + SchemaOrg + Schema.org Ontology (SchemaOrg) + Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. + Schema.org Community OWL - 2013-04-30 - W3C Software License - https://terminology.tib.eu/ts/ontologies/PROV + 2024-11-22 + Creative Commons 4.0 + https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl General Knowledge - General - 2013-04-30 + Web Development + 28.1 - - DBpedia - DBpedia Ontology (DBpedia) - The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. - DBpedia Maintainers and Contributors + + LPBFO + Laser Powder Bed Fusion Ontology (LPBFO) + The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. + Fraunhofer IWM OWL - 2008-11-17 - Creative Commons 3.0 - https://wiki.dbpedia.org/ - General Knowledge - Knowledge Graph + 2022-09-20 + Creative Commons 4.0 + https://matportal.org/ontologies/LPBFO + Materials Science and Engineering + Materials Science + 1.1.9 - - DCAT - Data Catalog Vocabulary (DCAT) - Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. - Digital Enterprise Research Institute (DERI) + + QUDT + Quantities, Units, Dimensions and Data Types (QUDT) + QUDT is an advocate for the development and implementation of standards to quantify data expressed in RDF and JSON. + NASA Ames Research Center + TTL + March 1, 2022 + Creative Commons 4.0 + https://qudt.org/ + Units and Measurements + Physics + 2.1 + + + AgrO + Agronomy Ontology (AgrO) + An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike. To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on field management, soil, weather and crop phenotypes may need to be aggregated to assess performance of particular crop under different management interventions. However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation play a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms. + The Crop Ontology Consortium RDF - 22 August 2024 - W3C Document License - https://www.w3.org/TR/vocab-dcat-3/ - Scholarly Knowledge - Data Catalogs - 3.0 + 2022-11-02 + Creative Commons 4.0 + https://agroportal.lirmm.fr/ontologies/AGRO?p=summary + Agriculture + Agronomy + 1.0 - - DEB - Devices, Experimental scaffolds and Biomaterials Ontology (DEB) - The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. - Osnat Hakimi - OWL - Jun 2, 2021 - GPL-3.0 - https://github.com/ProjectDebbie/Ontology_DEB - Medicine - Biomaterials - 06/2021 + + PRIMA + PRovenance Information in MAterials science (PRIMA) + An ontology that captures the provenance information in the materials science domain. + Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + TTL + 2024-01-29 + Creative Commons Attribution 3.0 Unported (CC BY 3.0) + https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + Materials Science and Engineering + Materials Science + 2.0 - - DataCite - DataCite Ontology (DataCite) - The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. - David Shotton, Silvio Peroni - RDF - 15/09/2022 + + BBCPolitics + BBC Politics News Ontology (BBCPolitics) + The Politics Ontology describes the concepts that occur in BBC politics news. + https://www.r4isstatic.com/ + TTL + 2014-01-06 Creative Commons 4.0 - https://schema.datacite.org/ - Scholarly Knowledge - Metadata - 3.1 + https://www.bbc.co.uk/ontologies/politics-ontology + News and Media + Politics + 0.9 NanoMine @@ -619,18 +614,44 @@ Materials Science and Engineering Materials Science - - PKO - Provenance Knowledge Ontology (PKO) - Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). - Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) + + DBO + Digital Buildings Ontology (DBO) + The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. + Google RDF - 2025-03-01 - Creative Commons 4.0 - https://github.com/perks-project/pk-ontology/tree/master + 02/23/2023 + Apache 2.0 + https://github.com/google/digitalbuildings?tab=readme-ov-file Industry - Provenance - 1.0.0 + Building Information + 0.0.1 + + + BBCCoreConcepts + BBC Core Concepts Ontology (BBCCoreConcepts) + The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. + jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk + TTL + 2019-11-21 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/core-concepts-ontology + News and Media + Core Concepts + 1.30 + + + MMO + Materials Mechanics Ontology (MMO) + The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. + Akhil Thomas, Ali Riza Durmaz + RDF + 2024-01-30 + Creative Commons 4.0 + https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html + Materials Science and Engineering + Scholarly Knowledge + 1.0.1 MatWerk @@ -645,507 +666,335 @@ Research Data, Interoperability 3.0.0 - - GND - Gemeinsame Normdatei (GND) - GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. - Alexander Haffner - RDF - 2024-08-26 - Creative Commons 1.0 - https://d-nb.info/standards/elementset/gnd - Library and Cultural Heritage - Authority Files - 1.2.0 - - - EMMOCrystallography - Crystallography Ontology (EMMOCrystallography) - A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-crystallography - Materials Science and Engineering - Crystallography - 0.0.1 - - - OM - Ontology of Units of Measure (OM) - The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. - Hajo Rijgersberg, Don Willems, Jan Top - RDF - June 28, 2024 - Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/OM - Units and Measurements - 2.0.57 - - - SIOC - Semantically-Interlinked Online Communities (SIOC) - The SIOC (Semantically-Interlinked Online Communities) Ontology is an ontology for describing the information in online communities. This includes sites that support online discussions, blogging, file sharing, photo sharing, social networking, etc. - Data Science Institute, NUI Galway - RDF - 2018/02/28 - Creative Commons 3.0 - http://rdfs.org/sioc/spec/ - Social Sciences - Social Networks - 1.36 - - - Framester - Framester Ontology (Framester) - Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. - Aldo Gangemi - RDF - 19-04-2016 - Creative Commons 4.0 - http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl - Scholarly Knowledge - Linguistics - 1.0 - - - ChEBI - Chemical Entities of Biological Interest (ChEBI) - Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + + SEPIO + Scientific Evidence and Provenance Information Ontology (SEPIO) + The SEPIO ontology is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. The SEPIO core file imports two files which can be resolved at the URLs below: IAO ontology-metadata import: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/imports/ontology-metadata.owl bfo mireot: https://raw.githubusercontent.com/monarch-initiative/SEPIO-ontology/master/src/ontology/mireots/bfo-mireot.owl OWL - 01/01/2025 + 2015-02-23 Creative Commons 4.0 - https://www.ebi.ac.uk/chebi/ - Chemistry - Chemical Entities - 239 + https://terminology.tib.eu/ts/ontologies/SEPIO + Scholarly Knowledge + Scientific Evidence - - BBCCoreConcepts - BBC Core Concepts Ontology (BBCCoreConcepts) - The generic BBC ontology for people, places, events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts e.g., athletes or politicians using rdfs:sublClassOf the particular concept. - jeremy.tarling@bbc.co.uk, tom.hodgkinson@bbc.co.uk - TTL - 2019-11-21 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/core-concepts-ontology - News and Media - Core Concepts - 1.30 + + UMBEL + Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) + UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. + n3 + May 10, 2016 + https://github.com/structureddynamics/UMBEL/tree/master/Ontology + General Knowledge + Web Development + 1.50 - - EURIO - EUropean Research Information Ontology (EURIO) - EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. - Publications Office of the European Commission + + DataCite + DataCite Ontology (DataCite) + The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF. + David Shotton, Silvio Peroni RDF - 2023-10-19 + 15/09/2022 Creative Commons 4.0 - https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + https://schema.datacite.org/ Scholarly Knowledge - Research Information - 2.4 + Metadata + 3.1 - - MFOEM - Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) - The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. - Swiss Centre for Affective Sciences & University at Buffalo - OWL + + VOAF + Vocabulary of a Friend (VOAF) + The Vocabulary of a Friend (VOAF) is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies). It is based on Dublin Core and VOID. + Bernard Vatant + RDF + 2013-05-24 Creative Commons 3.0 - http://purl.obolibrary.org/obo/MFOEM.owl - Medicine - Emotion + https://lov.linkeddata.es/vocommons/voaf/v2.3/ + Scholarly Knowledge + Social Network + 2.3 - - PROCO - PROcess Chemistry Ontology (PROCO) - PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. - Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance + + REX + Physico-chemical process ontology (REX) + REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX. + University of Warsaw OWL - 04-14-2022 + 2025-03-11 Creative Commons 4.0 - https://github.com/proco-ontology/PROCO + https://terminology.tib.eu/ts/ontologies/REX Chemistry - Chemicals, Processes - 04-14-2022 - - - BTO - BRENDA Tissue Ontology (BTO) - A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. - OWL - 2021-10-26 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/BTO - Medicine - Enzyme - 2021-10-26 - - - Contact - Contact Ontology (Contact) - Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. - Mark Fox, Megan Katsumi - RDF - 2018-07-06 - https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html - Social Sciences - Social 1.0 - - FAIR - FAIR Vocabulary (FAIR) - This is the formal vocabulary (ontology) describing the FAIR principles. + + SPWorkflow + SMART Protocols Ontology: Workflow Module (SP-Workflow) + SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. + http://oxgiraldo.wordpress.com OWL - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/FAIR - Upper Ontology - Data, Metadata + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Workflows + 4.0 - - BBCSport - BBC Sport Ontology (BBCSport) - The Sport Ontology is a simple lightweight ontology for publishing data about competitive sports events. The terms in this ontology allow data to be published about: The structure of sports tournaments as a series of eventsThe competing of agents in a competitionThe type of discipline a event involvesThe award associated with the competition and how received it...etc Whilst it originates in a specific BBC use case, the Sport Ontology should be applicable to a wide range of competitive sporting events data publishing use cases. Care has been taken to try and ensure interoperability with more general ontologies in use. In particular, it draws heavily upon the events ontology. - https://uk.linkedin.com/pub/jem-rayfield/27/b19/757, https://uk.linkedin.com/in/paulwilton, https://www.blockslabpillar.com, https://www.linkedin.com/in/tfgrahame, https://uk.linkedin.com/pub/stuart-williams/8/684/351, https://uk.linkedin.com/in/brianwmcbride + + OIEManufacturing + Open Innovation Environment Manufacturing (OIEManufacturing) + The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + + + BBCCreativeWork + BBC Creative Work Ontology (BBCCreativeWork) + This ontology defines the terms required to describe the creative works produced by the BBC and their associated metadata. This ontology powers reading and writing creative works in the triplestore using tags associated with them (about) their more specific types (BlogPost, NewsItem, Programme) and audiences (audience). + LinkedData@bbc.co.uk TTL + 2012-12-01 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/sport-ontology + https://www.bbc.co.uk/ontologies/creative-work-ontology News and Media - Sport - 3.2 + Creative Work + 1.19 - - MAMBO - Molecules And Materials Basic Ontology (MAMBO) - MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + + VIBSO + Vibrational Spectroscopy Ontology (VIBSO) + The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. + VIBSO Workgroup OWL - General Public License v3.0 (GPL-3.0) - https://github.com/daimoners/MAMBO - Materials Science and Engineering - Materials Science + 2024-09-23 + Creative Commons Attribution 4.0 + https://terminology.tib.eu/ts/ontologies/vibso + Chemistry + Spectroscopy + 2024-09-23 - - AIISO - Academic Institution Internal Structure Ontology (AIISO) - The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. - Open University - RDF - 2008-05-14 + + BBCCMS + BBC CMS Ontology (BBCCMS) + The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. + LinkedData@bbc.co.uk + TTL + 2012-12-01 Creative Commons 4.0 - https://vocab.org/aiiso/ - Scholarly Knowledge - Academic Institution - 1.0 + https://www.bbc.co.uk/ontologies/cms-ontology + News and Media + Content Management Systems + 3.7 - - CIFCore - Crystallographic Information Framework Core Dictionary (CIFCore) - (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + + FSO + Flow Systems Ontology (FSO) + The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. + Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen TTL - May 24, 2023 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file + 2020-08-06 + Creative Commons 4.0 + https://github.com/alikucukavci/FSO/ Materials Science and Engineering Materials Science 0.1.0 - - TimelineOntology - Timeline Ontology (TimelineOntology) - The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. - Christopher Sutton, Yves Raimond, Matthias Mauch + + SAREF + Smart Applications REFerence ontology (SAREF) + The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). + ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) RDF - 25th October 2007 - Creative Commons 1.0 - https://github.com/motools/timelineontology - Arts and Humanities - Music Theory - 1.0 - - - BBCFood - BBC Food Ontology (BBCFood) - The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. - TTL - 2014/03/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/food-ontology - News and Media - Food and Beverage - 0.1 - - - SSN - Semantic Sensor Network Ontology (SSN) - The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. - W3C/OGC Spatial Data on the Web Working Group - TTL - 2017-04-17 - http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document - https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 - Materials Science and Engineering - Sensor Networks - 1.0 + 2020-12-31 + https://saref.etsi.org/core/v3.2.1/ + Web and Internet + interoperability + 3.2.1 - - BattINFO - Battery Interface Ontology (BattINFO) - BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. - TTL - https://github.com/BIG-MAP/BattINFO + + MatVoc + Materials Vocabulary (MatVoc) + The official ontology produced in the context of the STREAM project. + Tatyana Sheveleva, Javad Chamanara + RDF + 2022-12-12 + MIT License + https://stream-project.github.io/#overv Materials Science and Engineering Materials Science + 1.0.0 - - BVCO - Battery Value Chain Ontology (BVCO) - Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Lukas Gold, Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/Battery-Value-Chain-Ontology/ontology - Materials Science and Engineering - Materials Science - 0.4.3 + + FoodOn + Food Ontology (FoodON) + FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + OWL + 2025-01-16 + Creative Commons 4.0 + http://purl.obolibrary.org/obo/foodon.owl + Agriculture + Diet, Metabolomics, and Nutrition - - SUMO - Suggested Upper Merged Ontology (SUMO) - The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. + + DUO + Data Use Ontology (DUO) + DUO is an ontology which represent data use conditions. OWL 2025-02-17 Creative Commons 4.0 - https://www.ontologyportal.org/ - Upper Ontology + https://terminology.tib.eu/ts/ontologies/DUO/ + Scholarly Knowledge 1.0 - - VIBSO - Vibrational Spectroscopy Ontology (VIBSO) - The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR. - VIBSO Workgroup - OWL - 2024-09-23 - Creative Commons Attribution 4.0 - https://terminology.tib.eu/ts/ontologies/vibso - Chemistry - Spectroscopy - 2024-09-23 - - - OPMW - Open Provenance Model for Workflows (OPMW) - The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). - http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ + + PPlan + Ontology for Provenance and Plans (P-Plan) + The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. + http://www.isi.edu/~gil/ OWL - 2014-12-22 - Creative Commons Attribution 2.0 Generic (CC BY 2.0) - https://www.opmw.org/model/OPMW_20141222/ + 2014-03-12 + Creative Commons 4.0 + https://vocab.linkeddata.es/p-plan/index.html Scholarly Knowledge - Workflows - 3.1 + 1.3 - - Nomisma - Nomisma Ontology (Nomisma) - Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. - American Numismatic Society, Institute for the Study of the Ancient World + + BBCFood + BBC Food Ontology (BBCFood) + The Food Ontology is a simple lightweight ontology for publishing data about recipes, including the foods they are made from and the foods they create as well as the diets, menus, seasons, courses and occasions they may be suitable for. Whilst it originates in a specific BBC use case, the Food Ontology should be applicable to a wide range of recipe data publishing across the web. TTL - 2025-01-22 + 2014/03/18 Creative Commons 4.0 - https://www.dainst.org/forschung/projekte/noslug/2098 - Arts and Humanities - Numismatics + https://www.bbc.co.uk/ontologies/food-ontology + News and Media + Food and Beverage + 0.1 - - MechanicalTesting - Mechanical Testing Ontology (MechanicalTesting) - A domain ontology for mechanical testing based on EMMO. - Fraunhofer IWM - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-mechanical-testing - Materials Science and Engineering - Mechanical Testing - 1.0.0 + + FRBRoo + Functional Requirements for Bibliographic Records - object-oriented (FRBRoo) + The FRBRoo (Functional Requirements for Bibliographic Records - object-oriented) initiative is a joint effort of the CIDOC Conceptual Reference Model and Functional Requirements for Bibliographic Records international working groups to establish a formal ontology intended to capture and represent the underlying semantics of bibliographic information and to facilitate the integration, mediation, and interchange of bibliographic and museum information. + RDF + November 2015 + Creative Commons 4.0 + https://ontome.net/namespace/6#summary + Scholarly Knowledge + Bibliographic Records + 2.4 - - PODO - Point Defects Ontology (PODO) - PODO focuses on the description of point defects in crystalline materials. - https://orcid.org/0000-0001-7564-7990 + + SystemCapabilities + System Capabilities Ontology (SystemCapabilities) + This ontology describes system capabilities, operating ranges, and survival ranges. + W3C/OGC Spatial Data on the Web Working Group OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/podo + 2017-05-14 + W3C Software and Document License + https://terminology.tib.eu/ts/ontologies/SSNSYSTEM Materials Science and Engineering - Materials Science - 1.0.0 + Materials Science, Engineering, Systems - - MaterialInformation - Material Information Ontology (MaterialInformation) - The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. - Toshihiro Ashino - OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl - Materials Science and Engineering + + WiLD + Workflows in Linked Data (WiLD) + Ontology to describe Workflows in Linked Data. + Tobias Käfer + TTL + 2020-06-10 + DBpedia License + https://databus.dbpedia.org/ontologies/purl.org/wild--vocab/2020.06.10-210552 + Scholarly Knowledge Materials Science - - FIX - FIX Ontology (FIX) - An ontology of physico-chemical methods and properties. - OWL - 2020-04-13 - https://terminology.tib.eu/ts/ontologies/FIX - Chemistry - Chemicals, Properties - 2020-04-13 - - - PSIMOD - Protein Modifications Ontology (PSIMOD) - PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + + SWEET + Semantic Web for Earth and Environment Technology Ontology (SWEET) + The Semantic Web for Earth and Environment Technology Ontology (SWEET) is an investigation in improving discovery and use of Earth science data, through software understanding of the semantics of web resources. SWEET is a collection of ontologies conceptualizing a knowledge space for Earth system science, represented using the web ontology language (OWL). It includes both orthogonal concepts (space, time, Earth realms, physical quantities, etc.) and integrative science knowledge concepts (phenomena, events, etc.). + NASA, JPL, Caltech OWL - 2022-06-13 - Creative Commons Attribution 4.0 - https://github.com/HUPO-PSI/psi-mod-CV - Chemistry - Protein Modifications - 1.031.6 + July 14, 2022 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/SWEET + Ecology and Environment + Earth Science, Geoscience + 3.6.0 - - CHEMINF - Chemical Information Ontology (CHEMINF) - The chemical information ontology (cheminf) describes information entities about chemical entities. It provides qualitative and quantitative attributes to richly describe chemicals. Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. - Egon Willighagen, Nina Jeliazkova, Ola Spjuth, Valery Tkachenko + + OntoKin + Chemical Kinetics Ontology (OntoKin) + OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. + IEEE OWL - Creative Commons 1.0 - https://terminology.tib.eu/ts/ontologies/CHEMINF + 08 February 2022 + Creative Commons 4.0 + https://www.ontologyportal.org/ Chemistry - 2.1.0 + 1.0 - - BIO - BIO: A vocabulary for biographical information (BIO) - The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. - Ian Davis and David Galbraith - RDF - 2010-05-10 - Public Domain - https://vocab.org/bio/ - Social Sciences - Biographical Information + + BMO + Building Material Ontology (BMO) + Building Material Ontology defines the main concepts of building material, types, layers, and properties. + Janakiram Karlapudi, Prathap Valluru + TTL + 2019-12-10 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/BUILDMAT + Materials Science and Engineering + Materials 0.1 - - GFO - General Formal Ontology (GFO) - The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas. + + BTO + BRENDA Tissue Ontology (BTO) + A structured controlled vocabulary for the source of an enzyme comprising tissues, cell lines, cell types and cell cultures. OWL - 2024-11-18 - Creative Commons 4.0 - https://onto-med.github.io/GFO/release/2024-11-18/index-en.html - Upper Ontology - - - LODE - Linking Open Descriptions of Events (LODE) - People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. - Ryan Shaw - RDF - 2020-10-31 - Creative Commons Attribution 3.0 - https://linkedevents.org/ontology/ - Events - 2020-10-31 - - - Hydra - Hydra Ontology (Hydra) - Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. - Hydra W3C Community Group - JSONLD - 13 July 2021 + 2021-10-26 Creative Commons 4.0 - https://www.hydra-cg.com/spec/latest/core/#references - Web and Internet - Web Development - - - DBO - Digital Buildings Ontology (DBO) - The Digital Buildings ontology (DBO) is used by Google to represent structured information about buildings and building-installed equipment. - Google - RDF - 02/23/2023 - Apache 2.0 - https://github.com/google/digitalbuildings?tab=readme-ov-file - Industry - Building Information - 0.0.1 - - - ENVO - Environment Ontology (ENVO) - ENVO is an expressive, community ontology which helps humans, machines, and semantic web applications understand environmental entities of all kinds, from microscopic to intergalactic scales. As a FAIR-compliant resource, it promotes interoperability through the concise, controlled description of all things environmental. - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) - OWL - 2024-07-01 - Creative Commons 1.0 - https://obofoundry.org/ontology/envo.html - Ecology and Environment - Environment, Ecosystems, Habitats - 2024-07-01 - - - GIST - GIST Upper Ontology (GIST) - Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. - Semantic Arts - RDF - 2024-Feb-27 + https://terminology.tib.eu/ts/ontologies/BTO + Medicine + Enzyme + 2021-10-26 + + + CopyrightOnto + Copyright Ontology (CopyrightOnto) + The Copyright Ontology tries to formalise the copyright domain as a way to facilitate automated (or computer-supported) copyright management through the whole content value chain, as it is shaped by copyright law. Therefore, it does not focus just on the last step, end-users permissions to consume content, like many rights languages and ontologies do. + Rhizomik + TTL + 2019-09 Creative Commons 4.0 - https://semanticarts.com/gist - General Knowledge - Upper Ontology - 12.1.0 + https://rhizomik.net/ontologies/copyrightonto/ + Law + Legal Knowledge - - BFO - Basic Formal Ontology (BFO) - The Basic Formal Ontology (BFO) is a small, upper-level ontology that describes the basic types of entities in the world and how they relate to each other. - University at Buffalo + + SIO + Semanticscience Integrated Ontology (SIO) + The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. This project provides foundational support for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects. + M. Dumontier OWL - 2020 + 03/25/2024 Creative Commons 4.0 - https://github.com/BFO-ontology/BFO-2020/ + https://bioportal.bioontology.org/ontologies/SIO Upper Ontology Basic - 2.0 - - - SAREF - Smart Applications REFerence ontology (SAREF) - The Smart Applications REFerence (SAREF) suite of ontologies forms a shared model of consensus intended to enable semantic interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of data spaces. SAREF is published as a set of open standards produced by ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M). - ETSI Technical Committee Smart Machine-to-Machine communications (SmartM2M) - RDF - 2020-12-31 - https://saref.etsi.org/core/v3.2.1/ - Web and Internet - interoperability - 3.2.1 + 1.59 - - ChMO - Chemical Methods Ontology (ChMO) - The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. + + DBpedia + DBpedia Ontology (DBpedia) + The DBpedia ontology is generated from the manually created specifications in the DBpedia Mappings Wiki. Each release of this ontology corresponds to a new release of the DBpedia dataset, which contains instance data extracted from various language versions of Wikipedia. The DBpedia ontology has evolved into a crowd-sourced effort, resulting in a shallow cross-domain ontology. + DBpedia Maintainers and Contributors OWL - 2022-04-19 - Creative Commons 4.0 - https://github.com/rsc-ontologies/rsc-cmo - Chemistry + 2008-11-17 + Creative Commons 3.0 + https://wiki.dbpedia.org/ + General Knowledge + Knowledge Graph QUDV @@ -1159,198 +1008,233 @@ Units and Measurements 2009-10-30 - - LexInfo - LexInfo (LexInfo) - LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + + SSN + Semantic Sensor Network Ontology (SSN) + The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given. + W3C/OGC Spatial Data on the Web Working Group + TTL + 2017-04-17 + http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document + https://github.com/w3c/sdw-sosa-ssn/tree/482484fe2edc1ba8aa7f19214a72bdb77123e833 + Materials Science and Engineering + Sensor Networks + 1.0 + + + TUBES + TUBES System Ontology (TUBES) + The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. + Nicolas Pauen RDF - Apache 2.0 - https://lexinfo.net/index.html - Scholarly Knowledge - Linguistics - 3.0 + 2022-02-01 + Creative Commons 4.0 + https://rwth-e3d.github.io/tso/ + Industry + Building Services + 0.3.0 - - BBCCMS - BBC CMS Ontology (BBCCMS) - The Content Management Systems ontology defines the terms that LDP needs to interact with systems that produce content. The linked data platform contain semantic metadata for the creative content and also the things the BBC produces content about. The CMS ontology defines how these things and content are associated with other BBC instances of the same thing. - LinkedData@bbc.co.uk + + BattINFO + Battery Interface Ontology (BattINFO) + BattINFO is a foundational resource for harmonizing battery knowledge representation and enhancing data interoperability. The primary objective is to provide the necessary tools to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data that can be integrated into the Semantic Web. TTL - 2012-12-01 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/cms-ontology - News and Media - Content Management Systems - 3.7 + https://github.com/BIG-MAP/BattINFO + Materials Science and Engineering + Materials Science - - HPOnt - The Heat Pump Ontology (HPOnt) - The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. - REACT project team + + SUMO + Suggested Upper Merged Ontology (SUMO) + The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. OWL + 2025-02-17 Creative Commons 4.0 - https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ + https://www.ontologyportal.org/ + Upper Ontology + 1.0 + + + LDO + Line Defect Ontology (LDO) + LDO is an ontology designed to describe line defects in crystalline materials, such as dislocations and disclinations. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/ldo Materials Science and Engineering - Materials Science - 0.2 + Materials Defects + 1.0.0 - - BMO - Building Material Ontology (BMO) - Building Material Ontology defines the main concepts of building material, types, layers, and properties. - Janakiram Karlapudi, Prathap Valluru + + Nomisma + Nomisma Ontology (Nomisma) + Nomisma Ontology is a collaborative project to provide stable digital representations of numismatic concepts according to the principles of Linked Open Data. These take the form of http URIs that provide access to the information about a concept in various formats. The project is a collaborative effort of the American Numismatic Society and the Institute for the Study of the Ancient World at New York University. + American Numismatic Society, Institute for the Study of the Ancient World TTL - 2019-12-10 + 2025-01-22 + Creative Commons 4.0 + https://www.dainst.org/forschung/projekte/noslug/2098 + Arts and Humanities + Numismatics + + + EDAM + The ontology of data analysis and management (EDAM) + EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. + Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš + OWL + 24.09.2024 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/edam + General Knowledge + General + 1.25-20240924T0027Z-unstable(1.26) + + + CIFCore + Crystallographic Information Framework Core Dictionary (CIFCore) + (1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate some of the more complex types of information that can be handled with this approach. + TTL + May 24, 2023 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/BUILDMAT + https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file Materials Science and Engineering - Materials - 0.1 + Materials Science + 0.1.0 - - OEO - The Open Energy Ontology (OEO) - The Open Energy Ontology (OEO) is a domain ontology of the energy system analysis context. It is developed as part of the Open Energy Family. The OEO is published on GitHub under an open source license. The language used is the Manchester OWL Syntax, which was chosen because it is user-friendly for editing and viewing differences of edited files. The OEO is constantly being extended. The first version of the OEO has been released on June 11th 2020. A Steering Committee (OEO-SC) was created to accompany the development, increase awareness of the ontology and include it in current projects. - OWL - 03/2025 - Creative Commons Attribution 1.0 Generic (CC BY 1.0) - https://github.com/OpenEnergyPlatform/ontology?tab=readme-ov-file - Ecology and Environment - Energy - 2.7.0 + + LODE + Linking Open Descriptions of Events (LODE) + People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. + Ryan Shaw + RDF + 2020-10-31 + Creative Commons Attribution 3.0 + https://linkedevents.org/ontology/ + Events + 2020-10-31 - - PATO - Phenotype and Trait Ontology (PATO) - An ontology of phenotypic qualities (properties, attributes or characteristics). - OWL - 2025-02-01 + + BBCStoryline + BBC Storyline Ontology (BBCStoryline) + The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. As a nuance of the English language the word 'story' has multiple meanings. In news organisations, a story can be an individual piece of content, such as an article or news report. It can also be the editorial view on events occurring in the world. + http://uk.linkedin.com/in/paulwilton, http://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, http://uk.linkedin.com/in/jarredmcginnis + TTL + 2013-05-01 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/PATO - Biology and Life Sciences - Biology - 1.2 + https://iptc.org/thirdparty/bbc-ontologies/storyline.html + News and Media + Storyline + 0.3 - - OIESoftware - Open Innovation Environment Software (OIESoftware) - EMMO-compliant, domain-level OIE ontology tackling the areas of software products. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + + UO + Units of Measurement Ontology (UO) + Metrical units for use in conjunction with PATO. + KAUST + OWL + 2023-05-25 + Creative Commons 3.0 + https://bioportal.bioontology.org/ontologies/UO + Units and Measurements + + + Contact + Contact Ontology (Contact) + Ontology to capture concepts related to contact information (addresses, phone numbers). Reuses the iContact Ontology developed by the Enterprise Integration Lab in Toronto. The iContact ontology is extended to introduce a specialized definition of Hours of Operation, defined as a subclass of both the iContact definition of hours of operation, and a subclass of the Recurring Event class defined in the iCity Recurring Event ontology. The Contact ontology also extends the definition of address to include an associated location. + Mark Fox, Megan Katsumi + RDF + 2018-07-06 + https://enterpriseintegrationlab.github.io/icity/Contact/Contact_1.0/doc/index-en.html + Social Sciences + Social + 1.0 + + + MOLBRINELL + MatoLab Brinell Test Ontology (MOL_BRINELL) + An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. + Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + 05/05/2022 + https://matportal.org/ontologies/MOL_BRINELL Materials Science and Engineering - Materials + Materials Testing 0.1 - - GO - Gene Ontology (GO) - The Gene Ontology (GO) Provides structured controlled vocabularies for the annotation of gene products with respect to their molecular function, cellular component, and biological role. - OWL - 2024-11-03 - Creative Commons 4.0 - https://geneontology.org/docs/download-ontology/ - Biology and Life Sciences - Molecular Biology, Genetics + + GND + Gemeinsame Normdatei (GND) + GND stands for Gemeinsame Normdatei (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. + Alexander Haffner + RDF + 2024-08-26 + Creative Commons 1.0 + https://d-nb.info/standards/elementset/gnd + Library and Cultural Heritage + Authority Files + 1.2.0 - - CDCO - Crystallographic Defect Core Ontology (CDCO) - CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. - https://orcid.org/0000-0001-7564-7990 - OWL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/OCDO/cdco - Materials Science and Engineering - Materials Science - 1.0.0 + + FOAF + Friend of a Friend (FOAF) + FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. + Dan Brickley, Libby Miller + RDF + 14 January 2014 + Creative Commons + http://xmlns.com/foaf/0.1/ + Social Sciences + Social + 0.1 - - CHAMEO - Characterisation Methodology Domain Ontology (CHAMEO) - An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 - TTL - 2024-04-12 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-characterisation-methodology + + MAMBO + Molecules And Materials Basic Ontology (MAMBO) + MAMBO (Molecules And Materials Basic Ontology) is a domain ontology for molecular materials. Its main targets are: Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques) Integrating data generated via computational simulations and empirical experiments. + OWL + General Public License v3.0 (GPL-3.0) + https://github.com/daimoners/MAMBO Materials Science and Engineering Materials Science - 1.0.0 - - MOLTENSILE - Matolab Tensile Test Ontology (MOL_TENSILE) - An ontology for describing the tensile test process, made in the Materials Open Lab Project. - Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de - RDF - 04/16/2021 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MOL_TENSILE + + MDO + Materials Design Ontology (MDO) + MDO is an ontology for materials design field, representing the domain knowledge specifically related to solid-state physics and computational materials science. + Materials Design Division, National Institute for Materials Science (NIMS) + OWL + 2022-08-02 + Creative Commons 4.0 + https://github.com/LiUSemWeb/Materials-Design-Ontology/tree/master/ Materials Science and Engineering - Materials Testings - 0.4 + Materials Design + 1.1 - - Photovoltaics - EMMO Domain Ontology for Photovoltaics (Photovoltaics) - This ontology is describing Perovskite solar cells. - Casper Welzel Andersen, Simon Clark - TTL - Creative Commons license Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/domain-photovoltaics + + HPOnt + The Heat Pump Ontology (HPOnt) + The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. + REACT project team + OWL + Creative Commons 4.0 + https://react2020.github.io/REACT-ONTOLOGY/HPOnt/index-en.html/ Materials Science and Engineering Materials Science - 0.0.1 - - - BBCBusiness - BBC Business News Ontology (BBCBusiness) - The Business News Ontology describes the concepts that occur in BBC business news. - https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed - TTL - 2014-11-09 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/business-news-ontology - News and Media - Business News - 0.5 + 0.2 - - AUTO - Automotive Ontology (AUTO) - The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. - EDM Council + + PTO + Product Types Ontology (PTO) + The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. + Martin Hepp RDF - 2021-03-01 - MIT - https://github.com/edmcouncil/auto/tree/master + 2025-02-21 + Creative Commons 3.0 + http://www.productontology.org/ Industry - Automotive - - - OIECharacterisation - Open Innovation Environment Characterisation (OIECharacterisation) - EMMO-compliant, domain-level OIE ontology tackling the areas of characterization methods. - Daniele Toti, Gerhard Goldbeck, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials - - - UMBEL - Upper Mapping and Binding Exchange Layer Vocabulary (UMBEL) - UMBEL is the Upper Mapping and Binding Exchange Layer, designed to help content interoperate on the Web. UMBEL provides two valuable functions: First, it is a broad, general reference structure of 34,000 concepts, which provides a scaffolding to link and interoperate other datasets and domain vocabularies. Second, it is a base vocabulary for the construction of other concept-based domain ontologies, also designed for interoperation. - n3 - May 10, 2016 - https://github.com/structureddynamics/UMBEL/tree/master/Ontology - General Knowledge - Web Development - 1.50 + 1.0 VIMMP @@ -1370,67 +1254,171 @@ This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America. Simon J D Cox (simon.cox@csiro.au) of CSIRO TTL - 2020-05-31 - Creative Commons 1.0 - https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html - Geography - geospatial Information, Geology - 1.0 + 2020-05-31 + Creative Commons 1.0 + https://raw.githack.com/CGI-IUGS/timescale-ont/master/html/gts.html + Geography + geospatial Information, Geology + 1.0 + + + OWLTime + Time Ontology in OWL (OWL-Time) + OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars. + World Wide Web Consortium + TTL + 15 November 2022 + W3C Software Notice and Document License + https://www.w3.org/TR/owl-time/ + Units and Measurements + Temporal Reasoning + 1.0 + + + BioPAX + Biological Pathways Exchange (BioPAX) + BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + OWL + 16 April 2015 + http://www.biopax.org/ + Biology and Life Sciences + Bioinformatics + 1.0 + + + Atomistic + Atomistic Ontology (Atomistic) + An EMMO-based domain ontology for atomistic and electronic modelling. + Francesca L. Bleken, Jesper Friis + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-atomistic + Materials Science and Engineering + Materials Science + 0.0.2 + + + LexInfo + LexInfo (LexInfo) + LexInfo allows us to associate linguistic information to elements in an ontology with respect to any level of linguistic description and expressivity. LexInfo has been implemented as an OWL ontology and is available together with an API. + RDF + Apache 2.0 + https://lexinfo.net/index.html + Scholarly Knowledge + Linguistics + 3.0 + + + Wine + Wine Ontology (Wine) + A project to define an RDF style ontology for wines and the wine-industry + RDF + https://github.com/UCDavisLibrary/wine-ontology + Food and Beverage + Wine + + + Conference + Conference Ontology (Conference) + The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. + Aldo Gangemi et al. + OWL + 2016/04/30 + Creative Commons 3.0 + http://www.scholarlydata.org/ontology/conference-ontology.owl + Events + Conferences + + + DOID + Human Disease Ontology (DOID) + The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. + The Open Biological and Biomedical Ontology Foundry + OWL + 2024-12-18 + Creative Commons 1.0 + http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl + Medicine + Human Diseases + + + TribAIn + Tribology and Artificial Intelligence Ontology (TribAIn) + TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. + Patricia Kügler + TTL + Creative Commons 4.0 + https://github.com/snow0815/tribAIn + Scholarly Knowledge - - DOAP - The Description of a Project vocabulary (DOAP) - The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. - Edd Wilder-James + + AUTO + Automotive Ontology (AUTO) + The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community. + EDM Council RDF - 2020-04-03 - Apache License 2.0 - https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + 2021-03-01 + MIT + https://github.com/edmcouncil/auto/tree/master Industry - Software + Automotive - - MO - Microscopy Ontology (MO) - The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies - https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file - Biology and Life Sciences - Microscopy - 2.0 + + PreMOn + Pre-Modern Ontology (PreMOn) + The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) for representing predicate models and their mappings. The Core Module of the PreMOn Ontology defines the main abstractions for modelling semantic classes with their semantic roles, mappings between different predicate models, and annotations. + Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> + OWL + 2018-02-15 + Creative Commons 4.0 + https://premon.fbk.eu/ontology/core# + Scholarly Knowledge + Linguistics + 2018a - - PTO - Product Types Ontology (PTO) - The Product Types Ontology is designed to be used in combination with GoodRelations, a standard vocabulary for the commercial aspects of offers. - Martin Hepp - RDF - 2025-02-21 - Creative Commons 3.0 - http://www.productontology.org/ - Industry - 1.0 + + MicroStructures + EMMO-based ontology for microstructures (MicroStructures) + This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. + OWL + https://github.com/jesper-friis/emmo-microstructure + Materials Science and Engineering + Microstructure - - MatOnto - Material Ontology (MatOnto) - The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. + + FIX + FIX Ontology (FIX) + An ontology of physico-chemical methods and properties. OWL - https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + 2020-04-13 + https://terminology.tib.eu/ts/ontologies/FIX + Chemistry + Chemicals, Properties + 2020-04-13 + + + CDCO + Crystallographic Defect Core Ontology (CDCO) + CDCO defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science. + https://orcid.org/0000-0001-7564-7990 + OWL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/OCDO/cdco Materials Science and Engineering - Scholarly Knowledge + Materials Science + 1.0.0 - - BioPAX - Biological Pathways Exchange (BioPAX) - BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. + + SWO + Software Ontology (SWO) + The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. + Allyson Lister, Andy Brown, Duncan Hull, Helen Parkinson, James Malone, Jon Ison, Nandini Badarinarayan, Robert Stevens OWL - 16 April 2015 - http://www.biopax.org/ - Biology and Life Sciences - Bioinformatics + 2013-07-01 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/SWO + Scholarly Knowledge + Software 1.0 @@ -1445,6 +1433,17 @@ Materials Defects 1.0.0 + + MSLE + Material Science Lab Equipment Ontology (MSLE) + The current ontology describes Material Science Lab Equipment. + TTL + Sep 15, 2022 + https://github.com/MehrdadJalali-AI/MSLE-Ontology + Materials Science and Engineering + Materials Science + 1.1 + DublinCore Dublin Core Vocabulary (DublinCore) @@ -1458,6 +1457,68 @@ Metadata 1.1 + + Juso + Juso Ontology (Juso) + Juso Ontology is a Web vocabulary for describing geographical addresses and features. + James G. Kim, LiST Inc. + TTL + 2015-11-10 + Creative Commons 4.0 + https://rdfs.co/juso/0.1.1/html + Geography + geographical knowledge + 0.1.1 + + + SPDocument + SMART Protocols Ontology: Document Module (SP-Document) + SMART Protocols Ontology: Document Module is an ontology designed to represent metadata used to report an experimental protocol. + http://oxgiraldo.wordpress.com + OWL + 2013-07-01 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/SMARTProtocols/SMART-Protocols + Scholarly Knowledge + Materials Science + 4.0 + + + GPO + General Process Ontology (GPO) + Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Simon Stier + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/General-Process-Ontology/ontology + Materials Science and Engineering + Materials Science + + + GoodRelations + Good Relations Language Reference (GoodRelations) + GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. + Martin Hepp + OWL + 2011-10-01 + Creative Commons 3.0 + https://www.heppnetz.de/ontologies/goodrelations/v1 + Finance + E-commerce + 1.0 + + + NMRCV + Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) + This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. + Daniel Schober + OWL + 2017-10-19 + Creative Commons 4.0 + https://terminology.tib.eu/ts/ontologies/NMRCV + Chemistry + 1.1.0 + MSEO Materials Science and Engineering Ontology (MSEO) @@ -1469,91 +1530,116 @@ Materials Science and Engineering Materials Science - - ICON - Icon Ontology (ICON) - The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. - Knowledge Media Institute + + PROCO + PROcess Chemistry Ontology (PROCO) + PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities and relations among entities in the domain of process chemistry. + Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance OWL - April 26th, 2024 + 04-14-2022 Creative Commons 4.0 - https://w3id.org/icon/ontology/ - Arts and Humanities - Art History, Cultural Heritage - 2.1.0 + https://github.com/proco-ontology/PROCO + Chemistry + Chemicals, Processes + 04-14-2022 - - TribAIn - Tribology and Artificial Intelligence Ontology (TribAIn) - TribAIn is an ontology for the description of tribological experiments and their results. It is designed to be used in the context of the TribAIn project, which aims to develop a knowledge-based system for the design of tribological systems. - Patricia Kügler - TTL - Creative Commons 4.0 - https://github.com/snow0815/tribAIn - Scholarly Knowledge + + iCalendar + iCalendar Vocabulary (iCalendar) + iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, and scheduling, supporting features like recurring events, invitations, and time zone adjustments. While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations pose challenges, leading to efforts to integrate it with Semantic Web technologies for enhanced data linking and automation. + Dan Connolly, W3C, Libby Miller, ASemantics + RDF + 2004/04/07 + Open Publication License + https://www.w3.org/2002/12/cal/ + Events + Calendar and Scheduling + 1.14 - - DSIM - Dislocation Simulation and Model Ontology (DSIM) - Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts and relationships in the discrete dislocation dynamics domain and microscopy techniques used in the dislocation domain. The various concepts are the numerical representation of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image. - Ahmad Zainul Ihsan + + CHIRO + CHEBI Integrated Role Ontology (CHIRO) + CHEBI provides a distinct role hierarchy. Chemicals in the structural hierarchy are connected via a 'has role' relation. CHIRO provides links from these roles to useful other classes in other ontologies. This will allow direct connection between chemical structures (small molecules, drugs) and what they do. This could be formalized using 'capable of', in the same way Uberon and the Cell Ontology link structures to processes. OWL - 17.08.2023 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://github.com/OCDO/DSIM - Materials Science and Engineering - Materials Science - 1.0 + 2015-11-23 + Creative Commons 1.0 + https://terminology.tib.eu/ts/ontologies/chiro + Chemistry + Chemicals, Roles + 2015-11-23 - - BBCWildlife - BBC Wildlife Ontology (BBCWildlife) - A simple vocabulary for describing biological species and related taxa. The vocabulary defines terms for describing the names and ranking of taxa, as well as providing support for describing their habitats, conservation status, and behavioural characteristics, etc. - https://www.ldodds.com#me, http://tomscott.name/ + + OIESoftware + Open Innovation Environment Software (OIESoftware) + EMMO-compliant, domain-level OIE ontology tackling the areas of software products. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 2013/12/18 - Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/wildlife-ontology - News and Media - Wildlife - 1.1 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials + 0.1 - - CiTO - Citation Typing Ontology (CiTO) - The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, both factually and rhetorically. - Silvio Peroni, David Shotton + + MOP + Molecular Process Ontology (MOP) + MOP is the molecular process ontology. It contains the molecular processes that underlie the name reaction ontology RXNO, for example cyclization, methylation and demethylation. OWL - 2018-02-16 + 2022-05-11 Creative Commons 4.0 - https://github.com/SPAROntologies/cito/tree/master/docs/current - Scholarly Knowledge - Scholarly Communication - 2.8.1 + https://terminology.tib.eu/ts/ontologies/MOP + Chemistry + Chemistry, Molecular Biology + 2022-05-11 - - MOLBRINELL - MatoLab Brinell Test Ontology (MOL_BRINELL) - An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project. - Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen + + MDS + Materials Data Science Ontology (MDS) + Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. + SDLE Research Center TTL - 05/05/2022 - https://matportal.org/ontologies/MOL_BRINELL + 03/24/2024 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MDS Materials Science and Engineering - Materials Testing - 0.1 + Materials Science + 0.3.0.0 - - SystemCapabilities - System Capabilities Ontology (SystemCapabilities) - This ontology describes system capabilities, operating ranges, and survival ranges. - W3C/OGC Spatial Data on the Web Working Group + + OBOE + Extensible Observation Ontology (OBOE) + The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations. + The Regents of the University of California OWL - 2017-05-14 - W3C Software and Document License - https://terminology.tib.eu/ts/ontologies/SSNSYSTEM - Materials Science and Engineering - Materials Science, Engineering, Systems + Creative Commons 3.0 + https://terminology.tib.eu/ts/ontologies/OBOE + Scholarly Knowledge + Scientific Observation + 1.2 + + + PSIMOD + Protein Modifications Ontology (PSIMOD) + PSI-MOD is an ontology developed by the Proteomics Standards Initiative (PSI) that describes protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. + OWL + 2022-06-13 + Creative Commons Attribution 4.0 + https://github.com/HUPO-PSI/psi-mod-CV + Chemistry + Protein Modifications + 1.031.6 + + + Common + Common Ontology (Common) + Ontology for the representation of commons elements in the Trias ontology + Jhon Toledo, Miguel Angel García, Oscar Corcho + RDF + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://w3id.org/mobility/trias/common/0.1.0 + Education + Computer Science + 0.1.0 PO @@ -1565,31 +1651,70 @@ Agriculture Plant Anatomy, Morphology, Growth and Development - - TUBES - TUBES System Ontology (TUBES) - The scope of the TUBES System Ontology is to explicitly define interconnected building service system in the AECO industry, their hierarchical subdivisions, structural and functional aspects, and links to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. It has a strong alignment to other ontologies within the W3C community. - Nicolas Pauen + + DEB + Devices, Experimental scaffolds and Biomaterials Ontology (DEB) + The devices, experimental scaffolds, and biomaterials ontology (DEB) is an open resource for organizing information about biomaterials, their design, manufacture, and biological testing. It was developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered were validated by members of the biomaterials research community. + Osnat Hakimi + OWL + Jun 2, 2021 + GPL-3.0 + https://github.com/ProjectDebbie/Ontology_DEB + Medicine + Biomaterials + 06/2021 + + + MarineTLO + Marine Taxonomy and Life Ontology (MarineTLO) + MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. + Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) + OWL + 2017-01-05 + Creative Commons 4.0 + https://projects.ics.forth.gr/isl/MarineTLO/ + Biology and Life Sciences + Marine Science, Oceanography + 1.0 + + + PKO + Provenance Knowledge Ontology (PKO) + Procedural Knowledge (PK) is knowing how to perform some tasks, as opposed to descriptive/declarative knowledge, which is knowing what in terms of facts and notions. In industry, PK refers in general to structured processes to be followed, and can be related to both production (e.g., procedure on the production line in a plant) and services (e.g., procedure for troubleshooting during customer support); to specific technical expertise (e.g., procedure to set up a specific machine) and general regulations and best practices (e.g., safety procedures, activities to minimise environmental impact). + Mario Scrocca (Cefriel), Valentina Carriero (Cefriel) RDF - 2022-02-01 + 2025-03-01 Creative Commons 4.0 - https://rwth-e3d.github.io/tso/ + https://github.com/perks-project/pk-ontology/tree/master Industry - Building Services - 0.3.0 + Provenance + 1.0.0 - - AGROVOC - AGROVOC Multilingual Thesaurus (AGROVOC) - AGROVOC is a relevant Linked Open Data set about agriculture available for public use and facilitates access and visibility of data across domains and languages. It offers a structured collection of agricultural concepts, terms, definitions and relationships which are used to unambiguously identify resources, allowing standardized indexing processes and making searches more efficient. - Food and Agriculture Organization of the United Nations - RDF - August 12, 2024 + + CHAMEO + Characterisation Methodology Domain Ontology (CHAMEO) + An ontology for materials characterization which represents the evolution of the CHADA template in an ontological form, allowing to generate FAIR documentation of Characterisation Experiments and that has been used as a basis for the development of a number of technique-specific or application-specific ontologies in the materials characterisation domain. CHAMEO has been used as a foundation for the definition of the new CHADA template during the CWA. + https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961 + TTL + 2024-04-12 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-characterisation-methodology + Materials Science and Engineering + Materials Science + 1.0.0 + + + LIFO + Life Ontology (LifO) + The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). + Yongqun "Oliver" He (YH) + OWL + March 11, 2018 Creative Commons 4.0 - https://agroportal.lirmm.fr/ontologies/AGROVOC - Agriculture - Agricultural Knowledge - 2024-04 + https://bioportal.bioontology.org/ontologies/LIFO + Biology and Life Sciences + General Purpose + 1.0.17 YAGO @@ -1604,142 +1729,73 @@ People, Cities, Countries, Movies, Organizations 4.5 - - DoCO - Document Components Ontology (DoCO) - DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. - David Shotton and Silvio Peroni - RDF - 2015-07-03 - Creative Commons 4.0 - http://www.sparontologies.net/ontologies/doco - Education - document components - 1.3 - - - PMDco - The Platform MaterialDigital core ontology (PMDco) - The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. - Jannis Grundmann - OWL - 2025-03-20 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/materialdigital/core-ontology?tab=readme-ov-file - Materials Science and Engineering - Materials Science - 3.0.0-alpha1 - - - PeriodicTable - Periodic Table of the Elements Ontology (PeriodicTable) - PeriodicTable.owl is a representation of the Periodic Table of the Elements in the OWL Web Ontology Language. It provides reference data to support Semantic Web applications in chemistry and related disciplines. - Michael Cook - OWL - 2004/02/05 - https://www.daml.org/2003/01/periodictable/ - Materials Science and Engineering - Periodic Table of Elements - 1.10 - - - DOID - Human Disease Ontology (DOID) - The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts. - The Open Biological and Biomedical Ontology Foundry - OWL - 2024-12-18 - Creative Commons 1.0 - http://purl.obolibrary.org/obo/doid/releases/2024-12-18/doid.owl - Medicine - Human Diseases - - - DOLCE - Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) - The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. - Laboratory for Applied Ontology, ISTC-CNR - OWL - Creative Commons 4.0 - https://www.loa.istc.cnr.it/index.php/dolce/ - Upper Ontology - Linguistics, Cognitive Science - - - MMO - Materials Mechanics Ontology (MMO) - The materials mechanics ontology is an application-level ontology that was created for supporting named entity recognition tasks for materials fatigue domain. The ontology covers some fairly general MSE concepts that could prospectively be merged into PMDco or other upper materials ontologies such as descriptions of crystallographic defects and microstructural entities. Furthermore, concepts related to the materials fatigue subdomain are also heavily incorporated. - Akhil Thomas, Ali Riza Durmaz - RDF - 2024-01-30 - Creative Commons 4.0 - https://iwm-micro-mechanics-public.pages.fraunhofer.de/ontologies/materials-mechanics-ontology/index-en.html - Materials Science and Engineering - Scholarly Knowledge - 1.0.1 - - - OIEModels - Open Innovation Environment Models (OIEModels) - The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL + + CMSO + Computational Material Sample Ontology (CMSO) + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-7564-7990 + OWL Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ + https://github.com/OCDO/cmso/tree/main Materials Science and Engineering - Materials + Materials Science + 0.0.1 - - MusicOntology - Music Ontology (MusicOntology) - The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. - Knowledge Media Institute, Open University - RDF - 2013/07/22 + + ChEBI + Chemical Entities of Biological Interest (ChEBI) + Chemical Entities of Biological Interest (ChEBI) is a dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. + OWL + 01/01/2025 Creative Commons 4.0 - https://github.com/motools/musicontology - Arts and Humanities - Music Theory - 2.1.5 - - - BIBFRAME - Bibliographic Framework Ontology (BIBFRAME) - The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance. - United States, Library of Congress - RDF - 2022-10-03 - Creative Commons 1.0 - https://id.loc.gov/ontologies/bflc.html - Education - Library, Museums, Archives - 2.5.0 + https://www.ebi.ac.uk/chebi/ + Chemistry + Chemical Entities + 239 - - NFDIcore - National Research Data Infrastructure Ontology (NFDIcore) - The National Research Data Infrastructure (NFDI) initiative has led to the formation of various consortia, each focused on developing a research data infrastructure tailored to its specific domain. To ensure interoperability across these consortia, the NFDIcore ontology has been developed as a mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more. - Jörg Waitelonis, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus, Hossein Beygi Nasrabadi, Harald Sack + + EXPO + Ontology of Scientific Experiments (EXPO) + Formalise generic knowledge about scientific experimental design, methodology, and results representation. OWL - 2025-02-07 - Creative Commons 1.0 - https://ise-fizkarlsruhe.github.io/nfdicore/ + Academic Free License (AFL) + https://expo.sourceforge.net/ Scholarly Knowledge - Research Data Infrastructure - 3.0.0 + Scientific Experiments - - GoodRelations - Good Relations Language Reference (GoodRelations) - GoodRelations is a standardized vocabulary (also known as "schema", "data dictionary", or "ontology") for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. - Martin Hepp + + MatOnto + Material Ontology (MatOnto) + The Material Ontology (MatOnto) is based on the upper level ontology, the BFO. OWL - 2011-10-01 - Creative Commons 3.0 - https://www.heppnetz.de/ontologies/goodrelations/v1 - Finance - E-commerce - 1.0 + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MatOnto.owl + Materials Science and Engineering + Scholarly Knowledge + + + MOLTENSILE + Matolab Tensile Test Ontology (MOL_TENSILE) + An ontology for describing the tensile test process, made in the Materials Open Lab Project. + Markus Schilling, markus.schilling@bam.de; Philipp von Hartrott, philipp.von.hartrott@iwm.fraunhofer.de + RDF + 04/16/2021 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://matportal.org/ontologies/MOL_TENSILE + Materials Science and Engineering + Materials Testings + 0.4 + + + DOAP + The Description of a Project vocabulary (DOAP) + The Description of a Project vocabulary (DOAP), described using W3C RDF Schema and the Web Ontology Language to describe software projects, and in particular open source projects. + Edd Wilder-James + RDF + 2020-04-03 + Apache License 2.0 + https://github.com/ewilderj/doap/blob/master/schema/doap.rdf + Industry + Software ASMO @@ -1753,30 +1809,6 @@ Materials Science 1.0.0 - - FRAPO - Funding, Research Administration and Projects Ontology (FRAPO) - The Funding, Research Administration and Projects Ontology (FRAPO) is an ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc. - David Shotton - RDF - Creative Commons 4.0 - http://www.sparontologies.net/ontologies/frapo - Scholarly Knowledge - Administration - - - GeoNames - GeoNames Ontology (GeoNames) - The Geonames ontologies provides elements of description for geographical features, in particular those defined in the geonames.org database. - Bernard Vatant - RDF - 2022-01-30 - Creative Commons 3.0 - https://www.geonames.org/ontology - Geography - Geographic Knowledge - 3.3 - AS2 Activity Streams 2.0 Ontology (AS2) @@ -1789,18 +1821,27 @@ Social 2.0 - - LPBFO - Laser Powder Bed Fusion Ontology (LPBFO) - The LPBF Ontology can be used to describe the additive manufacturing of a component via Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. - Fraunhofer IWM - OWL - 2022-09-20 - Creative Commons 4.0 - https://matportal.org/ontologies/LPBFO + + EMMOCrystallography + Crystallography Ontology (EMMOCrystallography) + A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-crystallography Materials Science and Engineering - Materials Science - 1.1.9 + Crystallography + 0.0.1 + + + OIEModels + Open Innovation Environment Models (OIEModels) + The models module defines models as semiotic signs that stands for an object by resembling or imitating it, in shape or by sharing a similar logical structure. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/OIE-Ontologies/ + Materials Science and Engineering + Materials IAO @@ -1813,166 +1854,163 @@ General Knowledge Information, Data, Knowledge - - PPlan - Ontology for Provenance and Plans (P-Plan) - The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. - http://www.isi.edu/~gil/ + + NCIt + NCI Thesaurus (NCIt) + NCI Thesaurus (NCIt) is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities. The NCIt OBO Edition aims to increase integration of the NCIt with OBO Library ontologies. NCIt OBO Edition releases should be considered experimental. OWL - 2014-03-12 + 2023-10-19 Creative Commons 4.0 - https://vocab.linkeddata.es/p-plan/index.html - Scholarly Knowledge - 1.3 + https://terminology.tib.eu/ts/ontologies/NCIT + Medicine + Cancer, Oncology + 24.04e - - GPO - General Process Ontology (GPO) - Basically, this ontology aims to model processes. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. - Simon Stier - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/General-Process-Ontology/ontology + + MaterialInformation + Material Information Ontology (MaterialInformation) + The Material Information ontology is divided into smaller ontologies (partitions). The partitions are Environment, Geometry, Material Information, Manufacturing Process, Property, Substance, Unit Dimension, Structure, Equation and Physical Constant. + Toshihiro Ashino + OWL + https://github.com/EngyNasr/MSE-Benchmark/blob/main/testCases/secondTestCase/MaterialInformation.owl Materials Science and Engineering Materials Science - - ATOL - Animal Trait Ontology for Livestock (ATOL) - ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. - INRAE, France + + GEO + Geographical Entities Ontology (GEO) + Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) + William R Hogan OWL - May 11, 2020 + 2019-02-17 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/ATOL - Agriculture - Animal Science - 6.0 + https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl + Geography + Geographic Knowledge - - SPWorkflow - SMART Protocols Ontology: Workflow Module (SP-Workflow) - SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. - http://oxgiraldo.wordpress.com + + BIO + BIO: A vocabulary for biographical information (BIO) + The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer. + Ian Davis and David Galbraith + RDF + 2010-05-10 + Public Domain + https://vocab.org/bio/ + Social Sciences + Biographical Information + 0.1 + + + OPMW + Open Provenance Model for Workflows (OPMW) + The Open Provenance Model for Workflows (OPMW) is an ontology for describing workflow traces and their templates based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). + http://delicias.dia.fi.upm.es/members/DGarijo/#me, http://www.isi.edu/~gil/ OWL - 2013-07-01 - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/SMARTProtocols/SMART-Protocols + 2014-12-22 + Creative Commons Attribution 2.0 Generic (CC BY 2.0) + https://www.opmw.org/model/OPMW_20141222/ Scholarly Knowledge Workflows - 4.0 + 3.1 + + + BBCProvenance + BBC Provenance News Ontology (BBCProvenance) + An ontology to capture data about the provenance of data in an RDF Triple Store. This provenance is focused on the immediate providers and not the ultimate source, so for example, this would record that geodata was provided by the BBC Locator team, and not geonames. In the Linked Data Platform, this data is applied to contexts or named graphs. A named graph is, in effect, a 'fourth part' to a triple, hence the term 'quad store'. + LinkedData@bbc.co.uk + TTL + 2012-12-01 + Creative Commons 4.0 + https://www.bbc.co.uk/ontologies/provenance-ontology + News and Media + Provenance + 1.9 + + + GIST + GIST Upper Ontology (GIST) + Gist is Semantic Arts' minimalist upper ontology for the enterprise. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. + Semantic Arts + RDF + 2024-Feb-27 + Creative Commons 4.0 + https://semanticarts.com/gist + General Knowledge + Upper Ontology + 12.1.0 - - MDS - Materials Data Science Ontology (MDS) - Materials Data Science (MDS) is an ontology encompassing multiple domains relevant to materials science, chemical synthesis and characterizations, photovoltaics and geospatial datasets. The terms used for classes, subclasses and instances are mapped to PMDCo and BFO Ontologies. - SDLE Research Center + + OIEMaterials + Open Innovation Environment Materials (OIEMaterials) + The materials module populates the physicalistic perspective with materials subclasses categorised according to modern applied physical sciences. + Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro TTL - 03/24/2024 Creative Commons Attribution 4.0 International (CC BY 4.0) - https://matportal.org/ontologies/MDS + https://github.com/emmo-repo/OIE-Ontologies/ Materials Science and Engineering - Materials Science - 0.3.0.0 - - - ENM - Environmental Noise Measurement Ontology (ENM) - The eNanoMapper project (https://www.enanomapper.net/), NanoCommons project (https://www.nanocommons.eu/) and ACEnano project (http://acenano-project.eu/) are creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO. - eNanoMapper Consortium - OWL - 2025-02-17 - Creative Commons 3.0 - https://terminology.tib.eu/ts/ontologies/ENM - Medicine - Material Science and Engineering - 10.0 + Materials - - DUO - Data Use Ontology (DUO) - DUO is an ontology which represent data use conditions. - OWL - 2025-02-17 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/DUO/ - Scholarly Knowledge + + TimelineOntology + Timeline Ontology (TimelineOntology) + The Timeline Ontology is centered around the notion of timeline, seen here as a way to identify a temporal backbone. A timeline may support a signal, a video, a score, a work, etc. + Christopher Sutton, Yves Raimond, Matthias Mauch + RDF + 25th October 2007 + Creative Commons 1.0 + https://github.com/motools/timelineontology + Arts and Humanities + Music Theory 1.0 - - LIFO - Life Ontology (LifO) - The Life Ontology (LifO) is an ontology of the life of organism. LifO represents the life processes of organisms and related entities and relations. LifO is a general purpose ontology that covers the common features associated with different organisms such as unicellular prokaryotes (e.g., E. coli) and multicellular organisms (e.g., human). - Yongqun "Oliver" He (YH) + + ChMO + Chemical Methods Ontology (ChMO) + The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: - collect data in chemical experiments, such as mass spectrometry and electron microscopy. - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns and their outputs. OWL - March 11, 2018 + 2022-04-19 Creative Commons 4.0 - https://bioportal.bioontology.org/ontologies/LIFO - Biology and Life Sciences - General Purpose - 1.0.17 - - - ONTORULE - Ontology for the Steel Domain (ONTORULE) - This deliverable consists of the ontology developed in ONTORULE for the steel industry use case. It is presented as an attachment to this document as an html document which was generated by SpecGen from the OWL file. The original OWL file is also included. This document describes the different concepts and attributes included in the ontology. For a better understanding of the decisions taken at the time of representing the knowledge in the ontology, the reader is encouraged to also read the document D5.4. - Diego Daz - TTL - 2010-05-31 - N/A - https://raw.githubusercontent.com/ISE-FIZKarlsruhe/mseo.github.io/master/Ontology_files/ONTORULEsteel.ttl - Materials Science and Engineering - Materials Science + https://github.com/rsc-ontologies/rsc-cmo + Chemistry - - BBCPolitics - BBC Politics News Ontology (BBCPolitics) - The Politics Ontology describes the concepts that occur in BBC politics news. - https://www.r4isstatic.com/ - TTL - 2014-01-06 + + EURIO + EUropean Research Information Ontology (EURIO) + EURIO (EUropean Research Information Ontology) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. + Publications Office of the European Commission + RDF + 2023-10-19 Creative Commons 4.0 - https://www.bbc.co.uk/ontologies/politics-ontology - News and Media - Politics - 0.9 + https://op.europa.eu/de/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurio + Scholarly Knowledge + Research Information + 2.4 - - PRIMA - PRovenance Information in MAterials science (PRIMA) - An ontology that captures the provenance information in the materials science domain. - Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa + + Photovoltaics + EMMO Domain Ontology for Photovoltaics (Photovoltaics) + This ontology is describing Perovskite solar cells. + Casper Welzel Andersen, Simon Clark TTL - 2024-01-29 - Creative Commons Attribution 3.0 Unported (CC BY 3.0) - https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html + Creative Commons license Attribution 4.0 International (CC BY 4.0) + https://github.com/emmo-repo/domain-photovoltaics Materials Science and Engineering Materials Science - 2.0 + 0.0.1 - - UO - Units of Measurement Ontology (UO) - Metrical units for use in conjunction with PATO. - KAUST + + DISO + Dislocation Ontology (DISO) + DISO is an ontology that defines the linear defect, in particular dislocation concepts and relations between them in crystalline materials. + Ahmad Zainul Ihsan OWL - 2023-05-25 - Creative Commons 3.0 - https://bioportal.bioontology.org/ontologies/UO - Units and Measurements - - - Metadata4Ing - Metadata for Intelligent Engineering (Metadata4Ing) - The ontology Metadata4Ing provides a framework for the semantic description of research data and of the whole data generation process, embracing the object of investigation, all sample and data manipulation methods and tools, the data files themselves, and the roles of persons and institutions. The structure and application of the ontology are based on the principles of modularity and inheritance. - Metadata4Ing Workgroup - TTL - 2025-03-10 - Creative Commons 4.0 - https://git.rwth-aachen.de/nfdi4ing/metadata4ing/metadata4ing - Scholarly Knowledge + 21.03.202 + Creative Commons Attribution 3.0 International (CC BY 3.0) + https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology + Materials Science and Engineering Materials Science - 1.3.1 + 1.0 BBC @@ -1987,68 +2025,67 @@ News 1.37 - - MarineTLO - Marine Taxonomy and Life Ontology (MarineTLO) - MarineTLO is a top level ontology, generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of marine data sources and provide the necessary properties to make this distributed knowledge base a coherent source of facts relating observational data with the respective spatiotemporal context and categorical (systematic) domain knowledge. It can be used as the core schema for publishing Linked Data, as well as for setting up integration systems for the marine domain. It can be extended to any level of detail on demand, while preserving monotonicity. For its development and evolution we have adopted an iterative and incremental methodology where a new version is released every two months. For the implementation we use OWL 2, and to evaluate it we use a set of competency queries, formulating the domain requirements provided by the related communities. - Information System Laboratory (ISL), Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH) - OWL - 2017-01-05 + + BBCBusiness + BBC Business News Ontology (BBCBusiness) + The Business News Ontology describes the concepts that occur in BBC business news. + https://www.bbc.co.uk/blogs/internet/authors/Jeremy_Tarling, https://uk.linkedin.com/in/amaalmohamed + TTL + 2014-11-09 Creative Commons 4.0 - https://projects.ics.forth.gr/isl/MarineTLO/ - Biology and Life Sciences - Marine Science, Oceanography - 1.0 + https://www.bbc.co.uk/ontologies/business-news-ontology + News and Media + Business News + 0.5 - - RO - Relation Ontology (RO) - The Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies. + + PROV + PROV Ontology (PROV-O) + The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents. OWL - 2024-04-24 - CC0 - http://purl.obolibrary.org/obo/ro.owl + 2013-04-30 + W3C Software License + https://terminology.tib.eu/ts/ontologies/PROV General Knowledge - Relations - 2024-04-24 + General + 2013-04-30 - - MatVoc - Materials Vocabulary (MatVoc) - The official ontology produced in the context of the STREAM project. - Tatyana Sheveleva, Javad Chamanara + + Framester + Framester Ontology (Framester) + Framester is a a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. + Aldo Gangemi RDF - 2022-12-12 - MIT License - https://stream-project.github.io/#overv - Materials Science and Engineering - Materials Science - 1.0.0 - - - NMRCV - Nuclear Magnetic Resonance Controlled Vocabulary (NMRCV) - This artefact is an MSI-approved controlled vocabulary primarily developed under COSMOS EU and PhenoMeNal EU governance. The nmrCV is supporting the nmrML XML format with standardized terms. nmrML is a vendor agnostic open access NMR raw data standard. Its primaly role is analogous to the mzCV for the PSI-approved mzML XML format. It uses BFO2.0 as its Top level. This CV was derived from two predecessors (The NMR CV from the David Wishart Group, developed by Joseph Cruz) and the MSI nmr CV developed by Daniel Schober at the EBI. This simple taxonomy of terms (no DL semantics used) serves the nuclear magnetic resonance markup language (nmrML) with meaningful descriptors to amend the nmrML xml file with CV terms. Metabolomics scientists are encouraged to use this CV to annotrate their raw and experimental context data, i.e. within nmrML. The approach to have an exchange syntax mixed of an xsd and CV stems from the PSI mzML effort. The reason to branch out from an xsd into a CV is, that in areas where the terminology is likely to change faster than the nmrML xsd could be updated and aligned, an externally and decentrallised maintained CV can accompensate for such dynamics in a more flexible way. A second reason for this set-up is that semantic validity of CV terms used in an nmrML XML instance (allowed CV terms, position/relation to each other, cardinality) can be validated by rule-based proprietary validators: By means of cardinality specifications and XPath expressions defined in an XML mapping file (an instances of the CvMappingRules.xsd ), one can define what ontology terms are allowed in a specific location of the data model. - Daniel Schober - OWL - 2017-10-19 + 19-04-2016 Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/NMRCV - Chemistry - 1.1.0 + http://150.146.207.114/lode/extract?url=http://ontologydesignpatterns.org/ont/framester/framester.owl + Scholarly Knowledge + Linguistics + 1.0 - - FOAF - Friend of a Friend (FOAF) - FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. - Dan Brickley, Libby Miller + + OM + Ontology of Units of Measure (OM) + The Ontology of units of Measure (OM) models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. It includes, for instance, common units such as the SI units metre and kilogram, but also units from other systems of units such as the mile or nautical mile. For many application areas it includes more specific units and quantities, such as the unit of the Hubble constant or the quantity vaselife. The following application areas are supported by OM: Geometry; Mechanics; Thermodynamics; Electromagnetism; Fluid mechanics; Chemical physics; Photometry; Radiometry and Radiobiology; Nuclear physics; Astronomy and Astrophysics; Cosmology; Earth science; Meteorology; Material science; Microbiology; Economics; Information technology and Typography. + Hajo Rijgersberg, Don Willems, Jan Top RDF - 14 January 2014 - Creative Commons - http://xmlns.com/foaf/0.1/ - Social Sciences - Social - 0.1 + June 28, 2024 + Creative Commons 4.0 + https://bioportal.bioontology.org/ontologies/OM + Units and Measurements + 2.0.57 + + + MO + Microscopy Ontology (MO) + The Microscopy Ontology (MO) extends the ontological framework of the PMDco. The MO facilitates semantic integration and the interoperable connection of diverse data sources from the fields of microscopy and microanalysis. Consequently, the MO paves the way for new, adaptable data applications and analyses across various experiments and studies + https://orcid.org/0000-0002-3717-7104,https://orcid.org/0000-0002-7094-5371 + TTL + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/materialdigital/microscopy-ontology?tab=readme-ov-file + Biology and Life Sciences + Microscopy + 2.0 BBCProgrammes @@ -2063,171 +2100,134 @@ Programmes 1.1 - - Conference - Conference Ontology (Conference) - The conference-ontology is a new self-contained ontology for modeling knowledge about conferences. The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies. - Aldo Gangemi et al. - OWL - 2016/04/30 - Creative Commons 3.0 - http://www.scholarlydata.org/ontology/conference-ontology.owl - Events - Conferences - - - SchemaOrg - Schema.org Ontology (SchemaOrg) - Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. - Schema.org Community - OWL - 2024-11-22 - Creative Commons 4.0 - https://github.com/schemaorg/schemaorg/blob/main/data/releases/28.1/schemaorg.owl - General Knowledge - Web Development - 28.1 - - - EDAM - The ontology of data analysis and management (EDAM) - EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. - Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš - OWL - 24.09.2024 - Creative Commons 4.0 - https://terminology.tib.eu/ts/ontologies/edam - General Knowledge - General - 1.25-20240924T0027Z-unstable(1.26) - - - FoodOn - Food Ontology (FoodON) - FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, from raw harvested food to processed food products, for humans and domesticated animals. It provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain. + + ATOL + Animal Trait Ontology for Livestock (ATOL) + ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL). ATOL aims to: - provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; - deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; - represent traits as generic as possible for livestock vertebrates; - make the ATOL ontology as operational as possible and closely related to measurement techniques; - structure the ontology in relation to animal production. + INRAE, France OWL - 2025-01-16 + May 11, 2020 Creative Commons 4.0 - http://purl.obolibrary.org/obo/foodon.owl + https://bioportal.bioontology.org/ontologies/ATOL Agriculture - Diet, Metabolomics, and Nutrition + Animal Science + 6.0 - - OBI - Ontology for Biomedical Investigations (OBI) - The Ontology for Biomedical Investigations (OBI) helps you communicate clearly about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more. + + MFOEM + Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) + The Mental Functioning Ontology - Emotion Module (MFOEM) aims to include all relevant aspects of affective phenomena including their bearers, the different types of emotions, moods, etc., their different parts and dimensions of variation, their facial and vocal expressions, and the role of emotions and affective phenomena in general in influencing human behavior.This class processes Mental Functioning Ontology of Emotions (MFOEM) using default behavior. + Swiss Centre for Affective Sciences & University at Buffalo OWL - 2025-01-09 - Creative Commons 4.0 - https://github.com/obi-ontology/obi/tree/master + Creative Commons 3.0 + http://purl.obolibrary.org/obo/MFOEM.owl Medicine - Biomedical Investigations + Emotion - - CSO - Computer Science Ontology (CSO) - The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. This class processes the Computer Science Ontology (CSO) with custom hooks for: - Topic-based class detection - superTopicOf relationships - contributesTo relationships + + MusicOntology + Music Ontology (MusicOntology) + The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web. Knowledge Media Institute, Open University - OWL + RDF + 2013/07/22 Creative Commons 4.0 - https://cso.kmi.open.ac.uk/home - Scholarly Knowledge - Computer Science - 3.4 + https://github.com/motools/musicontology + Arts and Humanities + Music Theory + 2.1.5 - - MicroStructures - EMMO-based ontology for microstructures (MicroStructures) - This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, particles, both stable (primary) and metastable (precipitates), grains, subgrains, grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support both microstructure modelling as well as characterisation. - OWL - https://github.com/jesper-friis/emmo-microstructure - Materials Science and Engineering - Microstructure + + CCO + Common Core Ontologies (CCO) + The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. + TTL + 2024-11-06 + BSD-3-Clause license + https://github.com/CommonCoreOntology/CommonCoreOntologies + General Knowledge + General + 2.0 - - MGED - MGED Ontology (MGED) - An ontology for microarray experiments in support of MAGE v.1. Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1 - Chris Stoeckert, Helen Parkinson, Trish Whetzel, Paul Spellman, Catherine A. Ball, Joseph White, John Matese, Liju Fan, Gilberto Fragoso, Mervi Heiskanen, Susanna Sansone, Helen Causton, Laurence Game, Chris Taylor - OWL - Feb. 9, 2007 - Creative Commons 4.0 - https://mged.sourceforge.net/ontologies/MGEDontology.php/ - Biology and Life Sciences - Domain Ontology - 1.3.1.1 + + DCAT + Data Catalog Vocabulary (DCAT) + Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. DCAT enables a publisher to describe datasets and data services in a catalog using a standard model and vocabulary that facilitates the consumption and aggregation of metadata from multiple catalogs. This can increase the discoverability of datasets and data services. It also makes it possible to have a decentralized approach to publishing data catalogs and makes federated search for datasets across catalogs in multiple sites possible using the same query mechanism and structure. Aggregated DCAT metadata can serve as a manifest file as part of the digital preservation process. + Digital Enterprise Research Institute (DERI) + RDF + 22 August 2024 + W3C Document License + https://www.w3.org/TR/vocab-dcat-3/ + Scholarly Knowledge + Data Catalogs + 3.0 - - Juso - Juso Ontology (Juso) - Juso Ontology is a Web vocabulary for describing geographical addresses and features. - James G. Kim, LiST Inc. + + BVCO + Battery Value Chain Ontology (BVCO) + Basically, Battery Value Chain Ontology (BVCO) aims to model processes along the Battery value chain. Processes are holistic perspective elements that transform inputs/educts (matter, energy, information) into output/products (matter, energy, information) with the help of tools (devices, algorithms). They can be decomposed into sub-processes and have predecessor and successor processes. + Lukas Gold, Simon Stier TTL - 2015-11-10 - Creative Commons 4.0 - https://rdfs.co/juso/0.1.1/html - Geography - geographical knowledge - 0.1.1 + Creative Commons Attribution 4.0 International (CC BY 4.0) + https://github.com/Battery-Value-Chain-Ontology/ontology + Materials Science and Engineering + Materials Science + 0.4.3 - - Common - Common Ontology (Common) - Ontology for the representation of commons elements in the Trias ontology - Jhon Toledo, Miguel Angel García, Oscar Corcho + + IOF + Industrial Ontology Foundry (IOF) + The IOF Core Ontology contains notions found to be common across multiple manufacturing domains. This file is an RDF implementation of these notions. The ontology utilizes the Basic Formal Ontology or BFO as a top-level ontology but also borrows terms from various domain-independent or mid-level ontologies. The purpose of the ontology is to serve as a foundation for ensuring consistency and interoperability across various domain-specific reference ontologies the IOF publishes. + IOF Core Working Group RDF - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://w3id.org/mobility/trias/common/0.1.0 - Education - Computer Science - 0.1.0 + 2020 + MIT + https://oagi.org/pages/Released-Ontologies + Industry + Manufacturing + 1.0 - - GEO - Geographical Entities Ontology (GEO) - Geographical Entities Ontology (GEO) is an inventory of geopolitical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction) - William R Hogan + + RXNO + Reaction Ontology (RXNO) + RXNO is the name reaction ontology. It contains more than 500 classes representing organic reactions such as the Diels–Alder cyclization. OWL - 2019-02-17 + 2021-12-16 Creative Commons 4.0 - https://github.com/mcwdsi/geographical-entity-ontology/blob/master/geo-all.owl - Geography - Geographic Knowledge + https://github.com/rsc-ontologies/rxno + Chemistry - - FSO - Flow Systems Ontology (FSO) - The Flow Systems Ontology (FSO) is an ontology for describing interconnected systems with material or energy flow connections, and their components. - Ali Kücükavci, Mads Holten Rasmussen, Ville Kukkonen - TTL - 2020-08-06 + + DOLCE + Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) + The Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) is a foundational ontology that provides a conceptual framework for the formalization of domain ontologies. + Laboratory for Applied Ontology, ISTC-CNR + OWL Creative Commons 4.0 - https://github.com/alikucukavci/FSO/ - Materials Science and Engineering - Materials Science - 0.1.0 + https://www.loa.istc.cnr.it/index.php/dolce/ + Upper Ontology + Linguistics, Cognitive Science - - OntoKin - Chemical Kinetics Ontology (OntoKin) - OntoKin is an ontology developed for representing chemical kinetic reaction mechanisms. - IEEE + + FAIR + FAIR Vocabulary (FAIR) + This is the formal vocabulary (ontology) describing the FAIR principles. OWL - 08 February 2022 Creative Commons 4.0 - https://www.ontologyportal.org/ - Chemistry - 1.0 + https://terminology.tib.eu/ts/ontologies/FAIR + Upper Ontology + Data, Metadata - - OIEManufacturing - Open Innovation Environment Manufacturing (OIEManufacturing) - The manufacturing module populates the physicalistic perspective with manufacturing subclasses categorised according to modern applied physical sciences. - Adham Hashibon, Daniele Toti, Emanuele Ghedini, Georg J. Schmitz, Gerhard Goldbeck, Jesper Friis, Pierluigi Del Nostro - TTL - Creative Commons Attribution 4.0 International (CC BY 4.0) - https://github.com/emmo-repo/OIE-Ontologies/ - Materials Science and Engineering - Materials + + Hydra + Hydra Ontology (Hydra) + Hydra is a lightweight vocabulary to create hypermedia-driven Web APIs. By specifying a number of concepts commonly used in Web APIs it enables the creation of generic API clients. + Hydra W3C Community Group + JSONLD + 13 July 2021 + Creative Commons 4.0 + https://www.hydra-cg.com/spec/latest/core/#references + Web and Internet + Web Development \ No newline at end of file