A Multi-Matching Technique for Combining Similarity Measures in Ontology Integration
نویسندگان
چکیده
A Multi-matching Technique for Combining Similarity Measures in Ontology Integration Ahmed Khalifa Alasoud, Ph.D. Concordia University, 2009 Ontology matching is a challenging problem in many applications, and is a major issue for interoperability in information systems. It aims to find semantic correspondences between a pair of input ontologies, which remains a labor intensive and expensive task. This thesis investigates the problem of ontology matching in both theoretical and practical aspects and proposes a solution methodology, called multi-matching. The methodology is validated using standard benchmark data and its performance is compared with available matching tools. The proposed methodology provides a framework for users to apply different individual matching techniques. It then proceeds with searching and combining the match results to provide a desired match result in reasonable time. In addition to existing applications for ontology matching such as ontology engineering, ontology integration, and exploiting the semantic web, the thesis proposes a
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