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An integrative proximity measure for ontology alignment

Abstract : Integrating heterogeneous resources of the web will require finding agreement between the underlying ontologies. A variety of methods from the literature may be used for this task, basically they perform pair-wise comparison of entities from each of the ontologies and select the most similar pairs. We introduce a similarity measure that takes advantage of most of the features of OWL-Lite ontologies and integrates many ontology comparison techniques in a common framework. Moreover, we put forth a computation technique to deal with one-to-many relations and circularities in the similarity definitions.
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Submitted on : Wednesday, December 25, 2013 - 10:23:31 PM
Last modification on : Wednesday, April 6, 2022 - 3:48:40 PM
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  • HAL Id : hal-00922318, version 1



Jérôme Euzenat, Petko Valtchev. An integrative proximity measure for ontology alignment. Proc. ISWC-2003 workshop on semantic information integration, Oct 2003, Sanibel Island, United States. pp.33-38. ⟨hal-00922318⟩



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