• DocumentCode
    2756892
  • Title

    Semantic Similarity-Based Ontology Alignment for Enterprise Ontologies

  • Author

    Xie, Chong

  • Author_Institution
    Shenyang Ligong Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    386
  • Lastpage
    390
  • Abstract
    Ontology, as a representation of shared conceptualization of specific domain, is a key technology for the semantic Web. In recent years, with the rapid development of the semantic Web, many large enterprises have established their own ontologies. In order for enterprises to facilitate communication and interoperability across multiple ontologies, we need a flexible mechanism to align ontologies. In this paper we present an approach to ontology alignment based on ontology similarity measures. Particularly, we introduce semantic similarity-based measures, i.e., attributional, relational, and extensional similarity measures. Furthermore, we give evaluation metrics on our approach with reference to ontology alignment quality.
  • Keywords
    ontologies (artificial intelligence); semantic Web; enterprise ontologies; flexible mechanism; interoperability; ontology similarity measures; semantic similarity-based ontology alignment; Automation; Biomedical measurements; Decision making; Fuzzy systems; Knowledge engineering; Manuals; Merging; Ontologies; Particle measurements; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.679
  • Filename
    5359475