OntoGen: semi-automatic ontology editor

Authors:
Blaz Fortuna;Marko Grobelnik;Dunja Mladenic
Affiliations:
Department of Knowledge Technologies, Institute Jozef Stefan, Ljubljana, Slovenia;Department of Knowledge Technologies, Institute Jozef Stefan, Ljubljana, Slovenia;Department of Knowledge Technologies, Institute Jozef Stefan, Ljubljana, Slovenia
Venue:
Proceedings of the 2007 conference on Human interface: Part II
Year:
2007

Citing 4
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Abstract

In this paper we present a semi-automatic ontology editor as implemented in a new version of OntoGen system. The system integrates machine learning and text mining algorithms into an efficient user interface lowering the entry barrier for users who are not professional ontology engineers. The main features of the systems include unsupervised and supervised methods for concept suggestion and concept naming, as well as ontology and concept visualization. The system was tested in extensive user trails and in several real-world scenarios with very positive results.