Difference between revisions of "Automatic key extraction"
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+ | To creating KEA model must checkout openkm and thesaurus fodlers: | ||
+ | Select the svn type and type the url https://openkm.svn.sourceforge.net/svnroot/openkm/trunk/openkm to refer openkm: | ||
+ | Select the svn type and type the url https://openkm.svn.sourceforge.net/svnroot/openkm/trunk/thesausus to refer thesaurus: | ||
+ | |||
+ | You could be interested in: | ||
+ | * KEA [http://www.nzdl.org/Kea/index.html] | ||
+ | * WEKA - Data mining with Open Source machine learning in Java [http://www.cs.waikato.ac.nz/~ml/weka/] | ||
+ | * Aperture framework [http://aperture.sourceforge.net/] | ||
+ | * RDF2GO [http://mavenrepo.fzi.de/semweb4j.org/site/rdf2go/] | ||
+ | * OpenRDF [http://www.openrdf.org/] | ||
[[Category: Installation Guide]] | [[Category: Installation Guide]] |
Revision as of 12:59, 20 September 2010
OpenKM uses KEA for extracting keyphrases from text documents. KEA it by default can be either used for free indexing or for indexing with a controlled vocabulary, but with OpenKM is mandatory having a controled vocabulary.
If order having KEA running in OpenKM must be a well done configured vocabulary (Thesaurus).
KEA is a training module that uses a Thesaurus as the controller vocabulary. In order how to configure OpenKM Thesaurus take a look at Thesaurus in installation guide.
To creating KEA model must checkout openkm and thesaurus fodlers:
Select the svn type and type the url https://openkm.svn.sourceforge.net/svnroot/openkm/trunk/openkm to refer openkm: Select the svn type and type the url https://openkm.svn.sourceforge.net/svnroot/openkm/trunk/thesausus to refer thesaurus:
You could be interested in: