Soft Computing in Ontologies and Semantic Web

BayesOWL: Uncertainty Modeling in Semantic Web Ontologies

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It is always essential but di±cult to capture incomplete, partial or uncertain knowledge when using ontologies to conceptualize an application domain or to achieve semantic interoperability among heterogeneous systems. This chapter presents an on-going research on developing a framework which augments and supplements the semantic web ontology language OWL for representing and reasoning with uncertainty based on Bayesian networks (BN), and its application in ontology mapping.


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bayesian reasoning, bayesowl, ontology, owl, semantic web, uncertainty

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Springer-Verlag

Studies in Fuzziness and Soft Computing

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