Dynamic OWL Ontology Matching Using Lexical WordNet Based Measures
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Ontologies are often used as means of describing knowledge and domain of operation of modern applications. A need arises for ability to quickly match those ontologies to enable interoperability of such systems. The paper presents an extension to Noy and McGuiness ontology construction methodology which should improve ontology interoperability and a lexicon based algorithm for merging and aligning of such ontologies stored in OWL language. The proposed similarity levels are being presented and the proposed algorithm is being described. Results of test showing the algorithm possibilities are presented.