PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Semi-automatic data-driven ontology construction system
Blaz Fortuna, Marko Grobelnik and Dunja Mladenić
In: SiKDD 2006, 09 Oct 2006, Ljubljana, Slovenia.


In this paper we present a new version of OntoGen system for semi-automatic data-driven ontology construction. The system is based on a novel ontology learning framework which formalizes and extends the role of machine learning and text mining algorithms used in the previous version. List of new features includes extended number of supported ontology formats (RDFS and OWL), supervised methods for concept discovery (based on Active Learning), adding of new instances to ontology and improved user interface (based on comments from the users).

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Information Retrieval & Textual Information Access
ID Code:2419
Deposited By:Blaz Fortuna
Deposited On:22 November 2006