IAOM: an integrated automatic ontology mapping approach towards knowledge integration

Authors:
Jiangning Wu;Yonggui Wang
Affiliations:
Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning, P.R. China;Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning, P.R. China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

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Abstract

Ontology mapping, with the purpose of finding the semantic correspondences between two existed overlapped ontologies, has been the key technique for solving the integration of ontology-based knowledge systems. Currently, ontology mapping is largely determined manually by domain experts, thus a time-consuming and labor-intensive process. In this paper, we propose an integrated automatic ontology mapping algorithm based on three dimensions of linguistics, structure and instance combining commonsense knowledge with domain knowledge from the systematic point of view. Experimental results on two course ontologies are presented, and show that the algorithm discovers semantic mappings with a high degree of accuracy.