• DocumentCode
    3511210
  • Title

    Formal Ontology Model and its Application to Semantic Retrieval

  • Author

    Wang Hongwei ; Liu Zhongying ; Yu Changrui

  • Author_Institution
    Sch. of Econ. & Manage., Tongji Univ., Shanghai
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    5621
  • Lastpage
    5624
  • Abstract
    Current information retrieval techniques either rely on an encoding process to describe a given item or perform a full-text analysis to search for user-specified words. Because an encoded description might reflect only part of the content, they can´t guarantee content matching. Ontology is an explicit specification of conceptualizations, which can explicitly and formally express the semantic of the concepts and their relationship. So ontology is better for information retrieval in semantic level. This paper introduces the basic concept of ontology, and presents a formal ontological model using description logic. Then, an algorithm for checking subsumption relation between terms is given. At last, request mode and response mode are modeled. Based on the two modes, a new semantic-enabling information retrieval mechanism is discussed.
  • Keywords
    encoding; information retrieval; ontologies (artificial intelligence); text analysis; checking subsumption relation; description logic; encoding process; formal ontology model; full-text analysis; information retrieval techniques; request-response mode; user-specified words; Encoding; Engineering management; Financial management; Information analysis; Information management; Information retrieval; Internet; Logic; Ontologies; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.1377
  • Filename
    4341152