Learning Ontologies of Appropriate Size

Authors:
Elias Zavitsanos;Sergios Petridis;Georgios Paliouras;George A. Vouros
Affiliations:
Institute of Informatics and Telecommunications, NCSR, "Demokritos", Greece and Department of Information and Communication Systems Engineering, Artificial Intelligence Laboratory, University of A ...;Institute of Informatics and Telecommunications, NCSR, "Demokritos", Greece;Institute of Informatics and Telecommunications, NCSR, "Demokritos", Greece;Department of Information and Communication Systems Engineering, Artificial Intelligence Laboratory, University of Aegean, Samos, Greece
Venue:
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Year:
2008

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Abstract

Determining the size of an ontology that is automatically learned from text corpora is an open issue. In this paper, we study the similarity between ontology concepts at different levels of a taxonomy, quantifying in a natural manner the quality of the ontology attained. Our approach is integrated in a recently proposed method for language-neutral learning of ontologies of thematic topics from text corpora. Evaluation results over the Genia and the Lonely Planet corpora demonstrate the significance of our approach.