期刊
JOURNAL OF WEB SEMANTICS
卷 7, 期 3, 页码 235-251出版社
ELSEVIER
DOI: 10.1016/j.websem.2009.04.001
关键词
Ontology; Ontology alignment; Ontology matching; Ontology mapping; UMLS
类别
资金
- National Institutes of Health [1R43RR018667-01A2]
Automated Semantic Matching of Ontologies with Veri. cation (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 veri. cation, and demonstrate the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies. (C) 2009 Elsevier B.V. All rights reserved.
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