• DocumentCode
    2448429
  • Title

    A Proposal for Stable Semantic Metrics Based on Evolving Ontologies

  • Author

    Ma, Yinglong ; Ma, Xinyv ; Liu, Shaohua ; Jin, Beihong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    In this paper, we propose a set of semantic cohesion metrics for ontology measurement, which can be used to assess the quality of evolving ontologies in the context of dynamic and changing Web. We argue that these metrics are stable and can be used to measure ontology semantics rather than ontology structures. Measuring ontology quality with semantic inconsistencies caused by ontology evolutions, is mainly considered in this paper. The proposed semantic cohesion metrics are theoretically and empirically validated.
  • Keywords
    Internet; ontologies (artificial intelligence); World Wide Web; evolving ontologies; ontology measurement; semantic cohesion metrics; stable semantic metrics; Artificial intelligence; Computer science; Electric variables measurement; Ontologies; Open wireless architecture; Power measurement; Proposals; Prototypes; Software measurement; Software quality; Ontology; Ontology Quality; Ontology inconsisteicies; Ontology metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.42
  • Filename
    5158958