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- A Probabilistic-Logical Framework for Ontology Matching + (The approach has several advantages over
e … The approach has several advantages over existing methods such as ease of experimentation, incoherence mitigation during the alignment process, and the incorporation of a-priori confidence values. In cases where training data is not available, weights set manually by experts still result in improved alignment quality. The framework is not only useful for aligning concepts and properties but can also include instance matching. For this purpose, one would only need to add a hidden predicate modeling instance correspondences. The resulting matching approach would immediately benefit from probabilistic joint inference, taking into account the interdependencies between terminological and instance correspondences.rminological and instance correspondences.)
