Presented at: Third International Workshop On Ontology Matching (OM2008)
by Alfio Ferrara, Davide Lorusso, Giorgos Stamou, Giorgos Stoilos, Vassilis Tzouvaras, Tassos Venetis
Interoperability is a strong requirement in open distributedsystems and in the Semantic Web. The need for ontology integrationis not always completely met by the available ontology matching techniques because, in most cases, the semantics of the compared ontologiesis not considered, thus leading to inconsistent mappings. Probabilisticapproaches has been proposed to validate mappings and solve the inconsistencies, based on a mapping confidence measure. As probabilisticapproaches suffer from the lack of well-founded likelihood measures ofmapping correctness, we propose a validation approach based on fuzzyinterpretation of mappings, which better models the notion of degreeof similarity between ontology elements. Moreover, we describe a conflict resolution method which computes the minimal sets of conflictingmappings and can be the ground of different validation strategies.
Resource URI on the dog food server: http://data.semanticweb.org/workshop/om/2008/paper/main/2
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