• DocumentCode
    2396158
  • Title

    An Agent-based System for Context-Sensitive Information Integration

  • Author

    Xing, Yan ; Zhan, Yinwei

  • Author_Institution
    Fac. of Autom., Guangdong Univ. of Technol.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    739
  • Lastpage
    744
  • Abstract
    Context-based meta-learning (CML) is a new approach for information integration in the application domain of virtual organizations. Aiming at the implementation of CML, this paper designs a multi-agent system to simulate the distributed environment of a virtual organization. Different from others, our system integrates two working modes and adopts two communication mechanisms. The details of system architecture and operation are explained. Experiments are performed to demonstrate that the whole system works well
  • Keywords
    commerce; multi-agent systems; agent-based system; context-based meta-learning; context-sensitive information integration; distributed environment; multi-agent system; virtual organizations; Collaboration; Communications technology; Context modeling; Data mining; Educational institutions; Health information management; Hospitals; Information analysis; Memory; Multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    1-4244-0065-1
  • Type

    conf

  • DOI
    10.1109/ICNSC.2006.1673238
  • Filename
    1673238