
Proceedings Paper
Information supply for high-level fusion servicesFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we describe the problem of efficiently supplying high-level fusion services (situation and impact
assessment) with adequate information using semantic technology and formulate an optimization problem version of it.
We begin by discussing situation awareness and the need for computer tools that assist human analysts and decision
makers with their sense-making. Such tools are necessary in part because of the vast amount of information that is
available for analysis in today's command and control systems: the human operators need help to sort out the relevant
parts. This kind of filtering requirement is however not limited to humans: automatic or semi-automatic fusion tools also
need to limit the information they use in their processing. Simple such filtering could be done based on geographical
location, but as the number of advanced fusion services used in the command and control system increases, more
advanced techniques need to be used. We describe the information supply process when dealing with several (possibly
heterogeneous) sources of differing quality and describe the concepts of information view and information scope. We
describe how semantic queries can be used to achieve such filtering, and in particular describe this implemented for
Impactorium, a framework tool for situation and impact assessment developed by FOI. The threat models in
Impactorium previously relied solely on simple indicator tags for information supply. This can be done more robustly by
adding semantic queries to the threat models. The paper concludes with a summary and some discussion of future work
in this area.
Paper Details
Date Published: 19 May 2009
PDF: 8 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520N (19 May 2009); doi: 10.1117/12.818544
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
PDF: 8 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520N (19 May 2009); doi: 10.1117/12.818544
Show Author Affiliations
Christian Mårtenson, Swedish Defence Research Agency (Sweden)
Pontus Svenson, Swedish Defence Research Agency (Sweden)
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
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