Using Background Knowledge and Context Knowledge in Ontology Mapping

Authors:
Hassan Fatemi;Mohsen Sayyadi;Hassan Abolhassani
Affiliations:
Semantic Web Research Laboratory, Computer Engineering Department, Sharif University Of Technology, Tehran, Iran, {fatemi,sayyadi}@ce.sharif.edu/ abolhassani@sharif.edu;Semantic Web Research Laboratory, Computer Engineering Department, Sharif University Of Technology, Tehran, Iran, {fatemi,sayyadi}@ce.sharif.edu/ abolhassani@sharif.edu;Semantic Web Research Laboratory, Computer Engineering Department, Sharif University Of Technology, Tehran, Iran, {fatemi,sayyadi}@ce.sharif.edu/ abolhassani@sharif.edu
Venue:
Proceedings of the 2008 conference on Formal Ontologies Meet Industry
Year:
2008

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Abstract

Recent evaluations of mapping systems show that lack of background knowledge, most often domain specific knowledge, is one of the key problems of mapping systems these days. In fact, at present, most state of the art systems, for the tasks of mapping large ontologies, perform not with such high values of recall (~ 30%), because they mainly rely on label and structure based similarity measures. Disregarding context knowledge in ontology mapping is another drawback that almost all current approaches suffer from. In this paper we use the semantic web as background knowledge and introduce a novel approach for capturing context knowledge from the ontology for improving mapping results. We have successfully tested our approach with the public test cases of the Ontology Alignment Evaluation Initiative 2005 and achieved promising results.