• DocumentCode
    497741
  • Title

    A multi-disciplinary approach to high level fusion in predictive situational awareness

  • Author

    Costa, Paulo Cesar G ; Chang, Kuo-Chu ; Laskey, Kathryn B. ; Carvalho, Rommel N.

  • Author_Institution
    Center of Excellence in C4I, George Mason Univ., Fairfax, VA, USA
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    248
  • Lastpage
    255
  • Abstract
    The change of focus in modern warfare from individual platforms to the network has caused a concomitant shift in supporting concepts and technologies. Greater emphasis is placed on interoperability and composeability. New technologies such as SOA and semantically aware systems have come into the spotlight. This paper argues that just as the problem space demands interoperability of diverse technologies, so must the solution space. In other words, not only are new approaches needed, but they must also come together as a seamlessly interoperable technological tool set. This can be accomplished only via a consistent multi-disciplinary approach. In this paper, we present some of the major requirements of today´s predictive situation awareness systems (PSAW), propose our approach as a coordinated mix between state-of-the-art research efforts, and present the architecture for enabling our approach.
  • Keywords
    inference mechanisms; open systems; sensor fusion; composeability; high level fusion; interoperability; multi-disciplinary approach; predictive situational awareness; semantically aware systems; Bayesian methods; Information processing; Intelligent sensors; Ontologies; Semiconductor optical amplifiers; Sensor arrays; Space technology; Uncertainty; Weapons; Web services; Bayesian networks; MEBN; PR-OWL; distributed hybrid inference; naval predictive situational awareness; probabilistic ontologies; probabilistic reasoning; spatio-temporal hybrid analysis; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203835