• DocumentCode
    2642663
  • Title

    Metrics for ontologies

  • Author

    Cross, Valerie ; Pal, Anindita

  • Author_Institution
    Dept. of Comput. Sci. & Syst. Anal., Miami Univ., Oxford, OH, USA
  • fYear
    2005
  • fDate
    26-28 June 2005
  • Firstpage
    448
  • Lastpage
    453
  • Abstract
    The success of the semantic Web has been linked with the use of ontologies on the semantic Web. Given the important role of ontologies on the semantic Web, the need for domain ontology development and management are increasingly more and more important to most kinds of knowledge-driven applications. More and more these ontologies are being used for information exchange. Information exchange technology should foster knowledge exchange by providing tools to automatically assess the characteristics and quality of an ontology. The scarcity of theoretically and empirically validated measures for ontologies has motivated our investigation. From this investigation a suite of quality metrics have been developed and implemented as a plug-in to the ontology editor Protege so that any ontology specified in a standard Web ontology language such as RDFS or OWL may have a quality assessment analysis performed.
  • Keywords
    knowledge based systems; ontologies (artificial intelligence); semantic Web; software metrics; OWL; RDFS; Web ontology language; domain ontology development; information exchange; knowledge-driven application; ontology editor Protege; quality assessment analysis; quality metrics; semantic Web; Costs; Humans; Knowledge management; OWL; Ontologies; Process design; Semantic Web; Standards development; Taxonomy; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
  • Print_ISBN
    0-7803-9187-X
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2005.1548577
  • Filename
    1548577