• DocumentCode
    2108155
  • Title

    A New Structure of Ontology Model for Semantic Information Retrieval

  • Author

    Wang, Wei ; Wang, Hongwei ; Liu, James N K

  • Author_Institution
    Sch. of Manage., Fudan Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a 6-tuples based structure of ontology model for semantic retrieval, and uses description logic as expression tool to semantically describe the atomic term, complex terms, instances, instances description, attribute assignment and axioms. Based on the new structure, this paper proposes two types of reasoning (terms-oriented and instances-oriented) for the application of semantic retrieval, as well as the conversion mechanisms and determining algorithms, which enables the reasoning for various relations in a specific domain according to the rules set by domain experts. Finally, this paper puts forward four kinds of information retrieval rules, and analyzes the applications of this new structure in semantic retrieval.
  • Keywords
    information retrieval; ontologies (artificial intelligence); atomic term; attribute assignment; axioms; complex terms; description logic; instances description; ontology model; semantic information retrieval; Application software; Databases; Feedback; Information analysis; Information retrieval; Logic; Ontologies; Power generation economics; Power system modeling; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302347
  • Filename
    5302347