A Semantic-Based Ontology Matching Process for PDMS

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In Peer Data Management Systems (PDMS), ontology matching can be employed to reconcile peer ontologies and find correspondences between their elements. However, traditional approaches to ontology matching mainly rely on linguistic and/or structural techniques. In this paper, we propose a semantic-based ontology matching process which tries to overcome the limitations of traditional approaches by using semantics. To this end, we present a semantic matcher which identifies, besides the common types of correspondences (equivalence), some other ones (e.g., closeness). We also present an approach for determining a global similarity measure between two peer ontologies based on the identified similarity value of each correspondence. To clarify matters, we provide an example illustrating how the proposed approach can be used in a PDMS and some obtained experimental results.