Semantic reasoning with uncertain information from unreliable sources

Title Semantic reasoning with uncertain information from unreliable sources
Author Şensoy, Murat, Kaplan, L., de Mel, G.
Publication Date: 2016
Publication Place - Springer International Publishing
Subject Description logics, Trust, Web
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 2-s2.0-84984838218
Record ID d45ad365-2a5b-4045-8409-2f47990e7655
Library Location Computer Science
Date 2016
Notes U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK
Sample Text Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this paper, we propose SDL-LiteSDL-Lite which extends DL-LiteRDL-LiteR with subjective opinions to represent uncertainty in knowledge. We directly incorporate trust into the reasoning so that the inconsistencies in the knowledge can be resolved based on trust evidence analysis. Therefore, the proposed logic can handle uncertain information from unreliable sources. We demonstrate how SDL-LiteSDL-Lite can be used for semantic fusion of uncertain information from unreliable sources and show that SDL-LiteSDL-Lite reasoner can estimate the ground truth with a minimal error.
DOI 10.1007/978-3-319-44832-9_6
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Semantic reasoning with uncertain information from unreliable sources

Author Şensoy, Murat, Kaplan, L., de Mel, G.
Publication Date 2016
Publication Place - Springer International Publishing
Subject Description logics, Trust, Web
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 2-s2.0-84984838218
Record ID d45ad365-2a5b-4045-8409-2f47990e7655
Library Location Computer Science
Date 2016
Notes U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK
Sample Text Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this paper, we propose SDL-LiteSDL-Lite which extends DL-LiteRDL-LiteR with subjective opinions to represent uncertainty in knowledge. We directly incorporate trust into the reasoning so that the inconsistencies in the knowledge can be resolved based on trust evidence analysis. Therefore, the proposed logic can handle uncertain information from unreliable sources. We demonstrate how SDL-LiteSDL-Lite can be used for semantic fusion of uncertain information from unreliable sources and show that SDL-LiteSDL-Lite reasoner can estimate the ground truth with a minimal error.
DOI 10.1007/978-3-319-44832-9_6
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