Multi-agent conflict resolution with trust for ontology mapping

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