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Proceedings Paper

Reasoning with uncertain information and trust
Author(s): Murat Sensoy; Geeth de Mel; Achille Fokoue; Timothy J. Norman; Jeff Z. Pan; Yuqing Tang; Nir Oren; Katia Sycara; Lance Kaplan; Tien Pham
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Paper Abstract

A limitation of standard Description Logics is its inability to reason with uncertain and vague knowledge. Although probabilistic and fuzzy extensions of DLs exist, which provide an explicit representation of uncertainty, they do not provide an explicit means for reasoning about second order uncertainty. Dempster-Shafer theory of evidence (DST) overcomes this weakness and provides means to fuse and reason about uncertain information. In this paper, we combine DL-Lite with DST to allow scalable reasoning over uncertain semantic knowledge bases. Furthermore, our formalism allows for the detection of conflicts between the fused information and domain constraints. Finally, we propose methods to resolve such conflicts through trust revision by exploiting evidence regarding the information sources. The effectiveness of the proposed approaches is shown through simulations under various settings.

Paper Details

Date Published: 28 May 2013
PDF: 12 pages
Proc. SPIE 8758, Next-Generation Analyst, 87580C (28 May 2013); doi: 10.1117/12.2015667
Show Author Affiliations
Murat Sensoy, Ozyegin Univ. (Turkey)
Univ. of Aberdeen (United Kingdom)
Geeth de Mel, IBM Thomas J. Watson Research Ctr. (United States)
U.S. Army Research Lab. (United States)
Achille Fokoue, IBM Thomas J. Watson Research Ctr. (United States)
Timothy J. Norman, Univ. of Aberdeen (United Kingdom)
Jeff Z. Pan, Univ. of Aberdeen (United Kingdom)
Yuqing Tang, Carnegie Melon Univ. (United States)
Nir Oren, Univ. of Aberdeen (United Kingdom)
Katia Sycara, Carnegie Melon Univ. (United States)
Lance Kaplan, U.S. Army Research Lab. (United States)
Tien Pham, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8758:
Next-Generation Analyst
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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