A Multi-Disciplinary Approach to High Level Fusion in Predictive Situational Awareness

被引:0
|
作者
Costa, Paulo Cesar G. [1 ]
Chang, Kuo-Chu [1 ]
Laskey, Kathryn B. [1 ]
Carvalho, Rommel N. [1 ]
机构
[1] George Mason Univ, Ctr Excellence C4I, Fairfax, VA 22030 USA
关键词
probabilistic reasoning; naval predictive situational awareness; web services; Bayesian networks; MEBN; PR-OWL; probabilistic ontologies; distributed hybrid inference; spatio-temporal hybrid analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:248 / 255
页数:8
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