Ontology matching with semantic verification

Yves R. Jean-Mary, E. Patrick Shironoshita, Mansur R. Kabuka

Research output: Contribution to journalArticlepeer-review

293 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)235-251
Number of pages17
JournalJournal of Web Semantics
Issue number3
StatePublished - Sep 2009


  • Ontology
  • Ontology alignment
  • Ontology mapping
  • Ontology matching
  • UMLS

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Human-Computer Interaction


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