Reasoning with uncertain information and trust

Murat Sensoy, Geeth de Mel, Achille Fokoue, Timothy J. Norman, Jeff Z. Pan, Yuqing Tang, Nir Oren, Katia Sycara, Lance Kaplan, Tien Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationProceedings of SPIE: Next-Generation Analyst - SPIE Defense, Security, and Sensing 2013
EditorsBarbara D. Broome, David L. Hall, James Llinas
Pages99 - 110
Number of pages12
ISBN (Print)9780819495495
Publication statusPublished - 28 May 2013
EventSPIE Defense, Security, and Sensing 2013 - Baltimore, United States
Duration: 29 Apr 201330 Apr 2013

Publication series

ISSN (Print)0277-786X


SymposiumSPIE Defense, Security, and Sensing 2013
Country/TerritoryUnited States

Keywords / Materials (for Non-textual outputs)

  • knowledge representation & reasoning
  • uncertainty
  • information fusion
  • Dempster-Shafer theory


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