Automatic key extraction

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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:

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