|   | 
Author Vargas-Vera, M.; Nagy, M.
Title Establishing agent trust for contradictory evidence by means of fuzzy voting model: An ontology mapping case study Type
Year 2014 Publication Computers In Human Behavior Abbreviated Journal (up) Comput. Hum. Behav.
Volume 30 Issue Pages 745-752
Keywords Ontology mapping; Semantic Web; Multi-agent systems; Uncertain reasoning
Abstract This paper introduces a novel trust assessment formalism for contradicting evidence in the context of multi-agent ontology mapping. Evidence combination using the Dempster rule tend to ignore contradictory evidence and the contemporary approaches for managing these conflicts introduce additional computation complexity i.e. increased response time of the system. On the Semantic Web, ontology mapping systems that need to interact with end users in real time cannot afford prolonged computation. In this work, we have made a step towards the formalisation of eliminating contradicting evidence, to utilise the original Dempster's combination rule without introducing additional complexity. Our proposed solution incorporates the fuzzy voting model to the Dempster-Shafer theory. Finally, we present a case study where we show how our approach improves the ontology mapping problem. (C) 2013 Elsevier Ltd. All rights reserved.
Address [Vargas-Vera, Maria] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Ctr Invest Informar & Telecomunicac, Vinia Del Mar, Chile, Email: maria.vargas-vera@uai.cl;
Corporate Author Thesis
Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0747-5632 ISBN Medium
Area Expedition Conference
Notes WOS:000330090900084 Approved
Call Number UAI @ eduardo.moreno @ Serial 344
Permanent link to this record