• DocumentCode
    1972117
  • Title

    Research on Information Retrieval System Based on Semantic Web and Multi-Agent

  • Author

    Luo Junwei ; Xue Xiao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2010
  • fDate
    22-23 June 2010
  • Firstpage
    207
  • Lastpage
    209
  • Abstract
    The Semantic Web and Multi-Agent are effective means for constructing information retrieval systems. Despite a great deal of research, a number of challenges still exist before making Semantic Web and agent-based computing a widely accepted in information retrieval practice. In order to solve the problem of "difficult to feedback useful information to users", the paper developed a new information retrieval system which integrating Semantic Web with Multi-Agent to retrieval relevant documents or information by analyzing semantics contained in the queries and documents.
  • Keywords
    document handling; information retrieval; multi-agent systems; semantic Web; agent based computing; documents; information retrieval system; multiagent; semantic Web; Data mining; Databases; Feature extraction; Resource description framework; Search engines; Semantics; Data Mining; Information Retrieval; Intelligent System; Multi-Agent; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-6640-5
  • Electronic_ISBN
    978-1-4244-6641-2
  • Type

    conf

  • DOI
    10.1109/ICICCI.2010.35
  • Filename
    5565999