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Add publication reference #28

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1 parent 159b208 commit b4a041e86bd7e600b18c44c8d411695d91c11645 @rdelbru committed Nov 11, 2011
Showing with 31 additions and 3 deletions.
  1. +3 −1 CHANGES.txt
  2. +12 −1 README.md
  3. +16 −1 README.txt
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@@ -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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@@ -3,7 +3,8 @@
## 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
@@ -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:
View
@@ -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
@@ -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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