FUSION 2009 Paper Abstract

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Paper TuA7.3

Costa, Paulo Cesar (George Mason University), Chang, KuoChu (George Mason University), Laskey, Kathryn (George Mason University), Carvalho, Rommel (George Mason University)

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

Scheduled for presentation during the Regular Session "Ontology-based Reasoning" (TuA7), Tuesday, July 7, 2009, 11:10−11:30, Eliza Anderson

12th International Conference on Information Fusion, July 6-9, 2009, Grand Hyatt Seattle, Seattle, WA, USA

This information is tentative and subject to change. Compiled on November 16, 2018

Keywords High level fusion, Probability Theory, Bayesian inference, Distributed Fusion

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 com-poseability. New technologies such as SOA and semanti-cally aware systems have come into the spotlight. This paper argues that just as the problem space demands interoperability of diverse technologies, so must the solu-tion 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 accom-plished 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.

 

 

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