• DocumentCode
    503953
  • Title

    A Self-Feedback Methodology of Domain Ontology Modeling

  • Author

    Li, Ming ; Zang, Fengkui

  • Author_Institution
    Sch. of Comput. & Commun., LanZhou Univ. of Technol., Lanzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    218
  • Lastpage
    223
  • Abstract
    Ontology has played more and more important roles in the computer science fields. However, there is no unified and effective method for ontology modeling until now. This paper presents a novel method for domain ontology modeling. Firstly, all kinds of ontology models are translated into ontology model described in description logics (DLs). Subsequently, erroneous information is fed back through reasoning on ontology in DLs. Finally, developers can amend ontology according to the feedback information. This process is repeated until the inconsistency of ontology is eliminated. Consequently, the above-mentioned methodology improves the accuracy and efficiency of domain ontology modeling. A concrete instance evidently demonstrates the effectiveness of research.
  • Keywords
    ontologies (artificial intelligence); computer science fields; description logics; domain ontology modeling; self-feedback methodology; Computer science; Concrete; Formal languages; Graphics; Learning systems; Logic; Object oriented modeling; Ontologies; Software engineering; Unified modeling language; Description logics (DLs); Domain ontology modeling; Reasoning; UML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.178
  • Filename
    5319678