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Introducing fuzzy trust for managing belief conflict over semantic web data

Nagy, Miklos; Vargas-Vera, Maria and Motta, Enrico (2008). Introducing fuzzy trust for managing belief conflict over semantic web data. In: 4th International Workshop on Uncertain Reasoning on the Semantic Web at The 7th International Semantic Web Conference (ISWC 2008), 26-30 Oct 2008, Karlsruhe, Germany.

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Interpreting Semantic Web Data by different human experts can end up in scenarios, where each expert comes up with different and conflicting ideas what a concept can mean and how they relate to other concepts. Software agents that operate on the Semantic Web have to deal with similar scenarios where the interpretation of Semantic Web data that describes the heterogeneous sources becomes contradicting. One such application area of the Semantic Web is ontology mapping where different similarities have to be combined into a more reliable and coherent view, which might easily become unreliable if the conflicting
beliefs in similarities are not managed effectively between the different agents. In this paper we propose a solution for managing this conflict by introducing trust between the mapping agents based on the fuzzy voting model.

Item Type: Conference Item
Copyright Holders: 2008 Springer
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 23487
Depositing User: Kay Dave
Date Deposited: 23 Nov 2010 09:13
Last Modified: 25 Mar 2016 02:47
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