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Posted to commits@stanbol.apache.org by bu...@apache.org on 2011/09/19 09:32:36 UTC

svn commit: r795973 - /websites/staging/stanbol/trunk/content/stanbol/docs/trunk/customvocabulary.html

Author: buildbot
Date: Mon Sep 19 07:32:36 2011
New Revision: 795973

Log:
Staging update by buildbot

Modified:
    websites/staging/stanbol/trunk/content/stanbol/docs/trunk/customvocabulary.html

Modified: websites/staging/stanbol/trunk/content/stanbol/docs/trunk/customvocabulary.html
==============================================================================
--- websites/staging/stanbol/trunk/content/stanbol/docs/trunk/customvocabulary.html (original)
+++ websites/staging/stanbol/trunk/content/stanbol/docs/trunk/customvocabulary.html Mon Sep 19 07:32:36 2011
@@ -120,8 +120,13 @@
 <p>If your text corpus contains and you are interested in both, generic NamedEntities and custom thesaurus you may use (TODO)<br />
 </p>
 <h2 id="specific_examples">Specific Examples</h2>
-<p><strong>Create your custom index for dbpedia:</strong> (TODO: dbpedia indexing (&lt;-- olivier))</p>
-<h2 id="resources">Resources</h2>
+<p>You can find guidance for the following indexers in the README files at <code>{root}/entityhub/indexing/{name-for-indexer}</code></p>
+<ul>
+<li><a href="http://dbpedia.org/">DBpedia</a> dataset (Wikipedia data)</li>
+<li><a href="http://www.geonames.org">geonames.org</a> dataset (geolocation data)</li>
+<li><a href="http://dblp.uni-trier.de/">DBLP</a> dataset (scientific bibliography data)</li>
+</ul>
+<h2 id="demos_and_ressources">Demos and Ressources</h2>
 <ul>
 <li>The full <a href="http://dev.iks-project.eu:8081/">demo</a> installation of Stanbol is configured to also work with an environmental thesaurus - if you test it with unstructured text from the domain, you should get enhancements with additional results for specific "concepts".</li>
 <li>Download custom test indexes and installer bundles for Stanbol from <a href="http://dev.iks-project.eu/downloads/stanbol-indices/">here</a> (e.g. for GEMET environmental thesaurus, or a big dbpedia index).</li>