Summary
Software agents that operate on the Semantic Web have to deal with scenarios where the discovery and combination of the relevant information from a variety of 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 trust is not managed effectively between the different sources. In this paper we propose a solution for managing trust between contradicting beliefs in similarities for ontology mapping based on the fuzzy voting model.
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Nagy, M., Vargas-Vera, M., Motta, E. (2008). Multi-agent Conflict Resolution with Trust for Ontology Mapping. In: Badica, C., Mangioni, G., Carchiolo, V., Burdescu, D.D. (eds) Intelligent Distributed Computing, Systems and Applications. Studies in Computational Intelligence, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85257-5_30
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DOI: https://doi.org/10.1007/978-3-540-85257-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85256-8
Online ISBN: 978-3-540-85257-5
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