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Proceedings Paper

Issues and challenges of knowledge representation and reasoning methods in situation assessment (Level 2 Fusion)
Author(s): Erik Blasch; Ivan Kadar; John Salerno; Mieczyslaw M. Kokar; Subrata Das; Gerald M. Powell; Daniel D. Corkill; Enrique H. Ruspini
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Paper Abstract

Situation assessment (SA) involves deriving relations among entities, e.g., the aggregation of object states (i.e. classification and location). While SA has been recognized in the information fusion and human factors literature, there still exist open questions regarding knowledge representation and reasoning methods to afford SA. For instance, while lots of data is collected over a region of interest, how does this information get presented to an attention constrained user? The information overload can deteriorate cognitive reasoning so a pragmatic solution to knowledge representation is needed for effective and efficient situation understanding. In this paper, we present issues associated with Level 2 (Situation Assessment) including: (1) user perception and perceptual reasoning representation, (2) knowledge discovery process models, (3) procedural versus logical reasoning about relationships, (4) user-fusion interaction through performance metrics, and (5) syntactic and semantic representations. While a definitive conclusion is not the aim of the paper, many critical issues are proposed in order to characterize future successful strategies to knowledge representation and reasoning strategies for situation assessment.

Paper Details

Date Published: 17 May 2006
PDF: 14 pages
Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 623510 (17 May 2006); doi: 10.1117/12.669779
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Ivan Kadar, Interlink Systems Sciences, Inc. (United States)
John Salerno, Air Force Research Lab. (United States)
Mieczyslaw M. Kokar, Northeastern Univ. (United States)
Subrata Das, Charles River Analytics (United States)
Gerald M. Powell, U.S. Army RDECOM CERDEC I2WD (United States)
Daniel D. Corkill, Univ. of Massachusetts, Amherst (United States)
Enrique H. Ruspini, SRI International (United States)


Published in SPIE Proceedings Vol. 6235:
Signal Processing, Sensor Fusion, and Target Recognition XV
Ivan Kadar, Editor(s)

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