• DocumentCode
    3394877
  • Title

    Complex Event Processing approach for Strategic Intelligence

  • Author

    Museux, Nicolas ; Mattioli, J. ; Laudy, C. ; Soubaras, H.

  • Author_Institution
    THALES Res. & Technol., Palaiseau
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    One of the key issues of strategic intelligence within a crisis situation is to build an early assessment of the situation, based on a context sensitive information interpretation and through a well constructed situation representation. Our proposal is based on the conjunction of a conceptual modelling to represent situations out of document analysis and a reactive rule-based modelling to analyze them according to a domain knowledge and a goal. This paper focuses on this situation analysis process. But we present our global approach and sum-up the situation representation and its objectives. We introduce the complex event processing formalism used for the analysis and dynamic recognition of such situations. We illustrate our approach through a case study taken from what happened during the energy crisis in California in 2001
  • Keywords
    business data processing; competitive intelligence; decision making; document handling; knowledge based systems; complex event processing approach; conceptual modelling; context sensitive information interpretation; decision making; document analysis; reactive rule-based modelling; situation analysis process; situation representation; strategic intelligence; Competitive intelligence; Context modeling; Data analysis; Databases; Decision making; Demand forecasting; Information analysis; Merging; Proposals; Videos; complex event processing; event based rules; information fusion; situation analysis; strategic intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301635
  • Filename
    4085921