• DocumentCode
    3084430
  • Title

    Introducing semantic knowledge in high-level fusion

  • Author

    Laudy, Claire ; Ganascia, Jean-Gabriel

  • Author_Institution
    Decision Technol. & Math. Lab., Thales, France
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The necessity of taking into account high-level information has recently been reported by the information fusion community. We previously presented an approach for high-level symbolic fusion that relies on the use of the conceptual graphs model. Domain knowledge is a major point of the fusion process. The use of conceptual graphs for knowledge representation eases the process of expressing domain knowledge and fusion heuristics. We use conceptual graphs in order to model a situation of interest. Information items extracted from different sources are fused, using the model of situation in order to orient the fusion by delivering a context. This article details a step that was introduced prior to fusion, that aims at testing the compatibility of observations. It explains the way the domain knowledge is introduced inside the compatibility test, similarly as it was previously introduced in the fusion process. The proposed approach is illustrated within the context of a decision support system for geopolitical crisis management.
  • Keywords
    decision support systems; graph theory; knowledge representation; politics; sensor fusion; conceptual graphs model; decision support system; geopolitical crisis management; high-level symbolic fusion; information fusion; knowledge representation; semantic knowledge; Context modeling; Crisis management; Data mining; Decision support systems; Humans; Knowledge representation; Mathematics; Paper technology; Pattern recognition; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5379903
  • Filename
    5379903