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The growing importance of ontology mapping on the Semantic Web has highlighted the need to manage the uncertain nature of interpreting semantic meta data represented by heterogeneous ontologies. Considering this uncertainty one can potentially improve the ontology mapping precision, which can lead to better acceptance of systems that operate in this(More)
Mapping ontologies with high precision on the Semantic Web is a challenging problem that needs to be addressed in various domains. One of the main problems with any mapping process, which needs to be applied on different domains is that it always has a certain degree of uncertainty associated with it. In this paper we introduce a method based on(More)
Software agents that need to interpret the possible meaning of Semantic Web data should be able to deal with scenarios where the different agent's belief becomes contradicting. This is especially true for ontology mapping where different agents using different similarity measures create beliefs in the assessed similarities and this needs to be combined into(More)