Difference between revisions of "Automatic key extraction"

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 modules:

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 [1]
• WEKA - Data mining with Open Source machine learning in Java [2]
• Aperture framework [3]
• RDF2GO [4]
• OpenRDF [5]