Ontology matching with semantic verification

Authors:
Yves R. Jean-Mary;E. Patrick Shironoshita;Mansur R. Kabuka
Affiliations:
INFOTECH Soft, Inc., 1201 Brickell AVE STE 220, Miami, FL 33131, USA;INFOTECH Soft, Inc., 1201 Brickell AVE STE 220, Miami, FL 33131, USA;INFOTECH Soft, Inc., 1201 Brickell AVE STE 220, Miami, FL 33131, USA and University of Miami, Coral Gables, FL 33124, USA
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2009

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Abstract

Automated Semantic Matching of Ontologies with Verification (ASMOV) is a novel algorithm that uses lexical and structural characteristics of two ontologies to iteratively calculate a similarity measure between them, derives an alignment, and then verifies it to ensure that it does not contain semantic inconsistencies. In this paper, we describe the ASMOV algorithm, and then present experimental results that measure its accuracy using the OAEI 2008 tests, and that evaluate its use with two different thesauri: WordNet, and the Unified Medical Language System (UMLS). These results show the increased accuracy obtained by combining lexical, structural and extensional matchers with semantic verification, and demonstrate the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies.