• DocumentCode
    3509904
  • Title

    Agents-Based Intelligent Retrieval Framework for the Semantic Web

  • Author

    Xiao, Yi ; Xiao, Ming ; Zhang, Fan

  • Author_Institution
    Dept. of Inf. Manage., Central China Normal Univ., Wuhan
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    5357
  • Lastpage
    5360
  • Abstract
    In order to solve the problem that the web data can hardly process automatically because of the lack of semantic, the world wide web consortium (W3C) develops the research project of semantic web which provides the base for the intelligent Web application. The intelligent agents are very suitable for variety applications in semantic web environment. On the basis of the research of semantic web and intelligent agent, combined with other technologies such as information retrieval, knowledge modeling and ontology construction, an agents-based intelligent retrieval framework in semantic web is proposed, which includes information collecting agent, storing agent, reasoning agent and querying agent. These agents implement the Web information retrieval service based on ontology by the collaboration each other, and further improve efficiency and precision of information retrieval.
  • Keywords
    information retrieval; multi-agent systems; semantic Web; Web data; World Wide Web Consortium; agents-based intelligent retrieval framework; information collecting agent; information retrieval; intelligent Web application; intelligent agents; knowledge modeling; ontology construction; querying agent; reasoning agent; semantic Web environment; storing agent; Content based retrieval; Information retrieval; Intelligent agent; Intelligent structures; Intelligent systems; Internet; Ontologies; Resource description framework; Search engines; Semantic Web;
  • 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.2007.1312
  • Filename
    4341087