Journal of Logic and Computation Advance Access originally published online on September 30, 2008
Journal of Logic and Computation 2009 19(5):859-897; doi:10.1093/logcom/exn049
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This article appears in the following Journal of Logic and Computation issue: Special Issue: Recent Advances in Ontology Dynamics [View the issue table of contents]
Original Articles |
Multimedia Interpretation for Dynamic Ontology Evolution
Università degli Studi di Milano, DICo, 20135 Milano, Italy.
E-mail: castano{at}dico.unimi.it
Hamburg University of Technology, Institute for Software Systems, 21079 Hamburg, Germany.
E-mail: sofia.espinosa{at}tuhh.de
Università degli Studi di Milano, DICo, 20135 Milano, Italy.
E-mail: ferrara{at}dico.unimi.it
Software and Knowledge Engineering Laboratory, Institute of Informatics and Telecommunications, National Centre for Scientific Research (N.C.S.R.) ‘Demokritos’, P.O. BOX 60228, Aghia Paraskevi, GR-153 10, Athens, Greece.
E-mail: vangelis{at}iit.demokritos.gr
Hamburg University of Technology, Institute for Software Systems, 21079 Hamburg, Germany.
E-mail: at.kaya{at}tuhh.de
Hamburg University of Technology, Institute for Software Systems, 21079 Hamburg, Germany.
E-mail: r.f.moeller{at}tuhh.de
Università degli Studi di Milano, DICo, 20135 Milano, Italy.
E-mail: montanelli{at}dico.unimi.it
Software and Knowledge Engineering Laboratory, Institute of Informatics and Telecommunications, National Centre for Scientific Research (N.C.S.R.) ‘Demokritos’, P.O. BOX 60228, Aghia Paraskevi, GR-153 10, Athens, Greece.
E-mail: petasis{at}iit.demokritos.gr
Hamburg University of Technology, Institute for Software Systems, 21079 Hamburg, Germany.
E-mail: mi.wessel{at}tuhh.de
Received 15 November 2007.
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Abstract |
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The recent success of distributed and dynamic infrastructures for knowledge sharing has raised the need for semiautomatic/automatic ontology evolution strategies. Ontology evolution is generally defined as the timely adaptation of an ontology to changing requirements and the consistent propagation of changes to dependent artifacts. In this article, we present an ontology evolution approach in the context of multimedia interpretation. Ontology evolution in this context relies on the results obtained through reasoning for the interpretation of multimedia resources, through population of the ontology with new individuals or through enrichment of the ontology with new concepts and new semantic relations. The article analyses the results of interpretation, population and enrichment obtained in evaluation experiments in terms of measures such as precision and recall. The evaluation reveals encouraging results.
Keywords: Multimedia Interpretation; ontology evolution; ontology dynamics; description logics; OWL; multimedia ontologies