• DocumentCode
    3343975
  • Title

    Signifying ontology complexity for knowledge sharing

  • Author

    Wongthongtham, P. ; Zadjabbari, B.

  • Author_Institution
    DEBII, Curtin Univ., Perth, WA, Australia
  • fYear
    2009
  • fDate
    9-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Ontologies are used in widespread application areas particularly to provide a shared semantically domain knowledge in a declarative formalism for intelligent reasoning. Even ontology enables knowledge sharing however complexity of knowledge being conceptualized in the ontology is critical to the success of knowledge sharing efforts. Other factor like trust in the source of knowledge can also affect knowledge transfer. In this paper we propose metrics to measure the complexity of ontology for knowledge sharing. We have chosen Software Engineering Ontology as our case study.
  • Keywords
    ontologies (artificial intelligence); software engineering; intelligent reasoning; knowledge sharing; ontology complexity; shared semantically domain knowledge; software engineering ontology; Biomedical informatics; Intelligent agent; Knowledge transfer; Ontologies; Semantic Web; Software agents; Software engineering; Stability; Unified modeling language; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5647-5
  • Type

    conf

  • DOI
    10.1109/ICITST.2009.5402638
  • Filename
    5402638