Automatic alignment of ontology eliminating the probable misalignments

Authors:
Seddiqui Md. Hanif;Yohei Seki;Masaki Aono
Affiliations:
Knowledge Data Engineering laboratory, Department of Information and Computer Sciences, Toyohashi University of Technology;Knowledge Data Engineering laboratory, Department of Information and Computer Sciences, Toyohashi University of Technology;Knowledge Data Engineering laboratory, Department of Information and Computer Sciences, Toyohashi University of Technology
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

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Abstract

This paper describes a novel approach of detecting misalignment at the time of aligning two different ontologies, and of eliminating the misalignments Our objective is to reduce limitation of a specific technique of ontology alignment Two aligned sets extracted by different alignment techniques from the same pair of ontology, are fed to the misalignment detection and elimination process to produce better alignments Our experiments demonstrate that our method, taking advantage of misalignment detection and elimination, shows a good recall and precision.