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NII internship 2018

Research project for 2017 2nd Call NII International Internship.

Main target: Analysis of Social Network of seiyuu (anime voice actors).

This is my first research experience, please be kind and understanding. Hope this will be useful to someone. Thank you!

Folders

  • Code: contains scripts used for getting information, making graphs and run predictions.
  • Data: json and rdf data backup, may be outdated.
  • Graphics: backup of graphics.
  • PopularityPredictionResults: results backup for an execution of "popularity predictions" script.
  • Presentation: latex files for presentation.
  • Report: latex files for report.
  • SocialNetworks: backup of some of the social networks built.

Steps to get RDF data

  1. Get list of seiyuu from Wikidata.

    • Using: retrieveSeiyuuListFromWikidata.py
    • Parameters: name of output file, limit
  2. Get seiyuu info and store it locally using mongodb in order to not depend on API limit.

    • Using: getSeiyuuInfo.py
    • Parameters: input file name, output file name, from seiyuu index, to seiyuu index, limit to x api consults

      Input file is the output from point 1

  3. Convert seiyuu information to RDF-turtle and store it locally using virtuoso.

    • Using: seiyuuInfoToRDF.py
    • parameters: input file name, output file name
  4. Get anime info and store it locally using mongodb in order to not depend on API limit.

    • Using: getAnimeInfo.py
    • Parameters: input file name, output file name, from anime index, to anime index, limit to x api consults

      Input file is actually a list of anime uris (jikan API page) this can be obtained by querying virtuoso server

  5. Convert anime information to RDF-turtle and store it locally using virtuoso.

    • Using: animeInfoToRDF.py
    • Parameters: input file name, output file name
  6. There are a couple of scripts that recover certain information, such as debut or personal data. This can be separately and added to local database if needed.

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