PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Straccia U., Troncy R. oMAP: combining classifiers for aligning automatically OWL ontologies. In: 6th International Conference on Web Information Systems Engineering (New York, Nove 2005). Proceedings, vol. Lecture Notes in Computer Science 3806 pp. 133 - 147. (Lecture Notes in Computer Science). Springer Verlag, 2005.
 
 
Abstract
(English)
This paper introduces a method and a tool for automatically aligning OWL ontologies, a crucial step for achieving the interoperability of heterogeneous systems in the Semantic Web. Different components are combined for finding suitable mapping candidates (together with their weights), and the set of rules with maximum matching probability is selected. Machine learning-based classifiers and a new classifier using the structure and the semantics of the OWL ontologies are proposed. Our method has been implemented and evaluated on an independent test set provided by an international ontology alignment contest. We provide the results of this evaluation with respect to the other competitors.
Subject Ontology alignment
H.3.5 Online Information Services. Data sharing


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