Semantic Enrichment in Ontologies for Matching

Tun, N.N.

Matching (or mapping) between heterogeneous ontologies becomes crucial for interoperability in distributed and intelligent environments. Although many efforts in ontology mapping have already been conducted, most of them rely heavily on the meaning of entity names rather than the semantics defined in ontologies. In order to deal with semantic heterogeneity, we enrich the semantics of ontologies for content-based matching. In this paper, we propose a semantically-enriched model of ontologies (called MetaOntoModel) where the semantics of concepts are enriched by adding concept-level knowledge (called meta-knowledge) based on three philosophical notions: identity, rigidity, and dependency. Then, we develop a MetaOntoModel-based ontology matching method. Our novel idea is that if two concepts are semantically equivalent, then they have the same metaknowledge. On the contrary, if two concepts possess different kinds of meta-knowledge, then they cannot be matched. We prove that meta-knowledge can determine not only the scope of matches, but also the closest corresponding properties between two similar concepts.

Cite as: Tun, N.N. (2006). Semantic Enrichment in Ontologies for Matching. In Proc. Second Australasian Ontology Workshop (AOW 2006), Hobart, Australia. CRPIT, 72. Orgun, M. A. and Meyer, T., Eds. ACS. 91-100.

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