• DocumentCode
    3539236
  • Title

    Measuring taxonomic relationships in ontologies using lexical semantic relatedness

  • Author

    Wu, Fang ; Lu, Zhao ; Yan, Yu ; Gu, Junzhong

  • Author_Institution
    Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    2009
  • fDate
    4-6 Aug. 2009
  • Firstpage
    784
  • Lastpage
    789
  • Abstract
    In this paper, we propose a new measure framework for evaluating taxonomy relationships in ontologies using lexical semantic relatedness. First, we suggest a new quantitative measure model for WordNet, the model can be used to compute the semantic relatedness of concepts in ontologies. Next, according to the relativities of concepts, we describe the way to estimate the classification consistency of all concepts in ontologies, moreover we use taxonomy scores to evaluate taxonomy relationships in ontologies. As a part of this research, we have applied our approach in evaluating the taxonomy relationships in SWE domain ontology, and the research shows our approach is effective. Other experiments show that our measure framework gets better performance than exiting approaches in identifying consistency of taxonomic relationship in ontologies.
  • Keywords
    ontologies (artificial intelligence); pattern classification; Shanghai World Expo domain ontology; WordNet; classification consistency estimation; lexical semantic relatedness; ontologies; quantitative measure model; taxonomic relationship measurement; Computational linguistics; Computer science; Contracts; Error correction; Knowledge engineering; Machine assisted indexing; Natural language processing; Ontologies; Pressing; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-4456-4
  • Electronic_ISBN
    978-1-4244-4457-1
  • Type

    conf

  • DOI
    10.1109/ICADIWT.2009.5273860
  • Filename
    5273860