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Add publication reference rdelbru#28
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rdelbru committed Nov 11, 2011
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4 changes: 3 additions & 1 deletion CHANGES.txt
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Expand Up @@ -6,11 +6,13 @@ New Features
* [GH-19] Port MultiTermQuery
* [GH-21] Activate SirenMultiTermQuery in query parser
* [GH-20] Extend analyzer for datatype support
* [gh-23] Extend Solr schema for datatype support
* [GH-23] Extend Solr schema for datatype support
* [GH-25] Deploy SIREn on OSS Sonatype Repository

Improvements

* [GH-22] Upgrade to Lucene/Solr 3.4
* [GH-28] Add publication reference to README

Bugs

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13 changes: 12 additions & 1 deletion README.md
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## Introduction

Efficient, large scale handling of semi-structured data (including RDF) is
increasingly an important issue to many web and enterprise information reuse scenarios.
increasingly an important issue to many web and enterprise information reuse
scenarios.

While Lucene has long offered these capabilities, its native capabilities are
not intended for large semi-structured document collections (or documents with
Expand All @@ -16,6 +17,16 @@ SIREn is a Lucene/Solr extension for effificent semi-structured full-text search
SIREn is not a complete application by itself, but rather a code library and API
that can easily be used to create a full-featured semi-structured search engine.

## Reference

If you are using SIREn for your scientific work, please cite the following article
as follow:

Renaud Delbru, Stephane Campinas, Giovanni Tummarello, **Searching web data: An
entity retrieval and high-performance indexing model**, *In Web Semantics:
Science, Services and Agents on the World Wide Web*, ISSN 1570-8268,
[10.1016/j.websem.2011.04.004](http://www.sciencedirect.com/science/article/pii/S1570826811000230).

## Resources

SIREn web site:
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17 changes: 16 additions & 1 deletion README.txt
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Expand Up @@ -21,7 +21,8 @@ INTRODUCTION
============

Efficient, large scale handling of semi-structured data (including RDF) is
increasingly an important issue to many web and enterprise information reuse scenarios.
increasingly an important issue to many web and enterprise information reuse
scenarios.

While Lucene has long offered these capabilities, its native capabilities are
not intended for large semi-structured document collections (or documents with
Expand All @@ -36,6 +37,20 @@ that can easily be used to create a full-featured semi-structured search engine.

--------------------------------------------------------------------------------

REFERENCE
=========


If you are using SIREn for your scientific work, please cite the following article
as follow:

Renaud Delbru, Stephane Campinas, Giovanni Tummarello, **Searching web data: An
entity retrieval and high-performance indexing model**, *In Web Semantics:
Science, Services and Agents on the World Wide Web*, ISSN 1570-8268,
[10.1016/j.websem.2011.04.004](http://www.sciencedirect.com/science/article/pii/S1570826811000230).

--------------------------------------------------------------------------------

RESOURCES
=========

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