Soft Computing in Ontologies and Semantic Web
BayesOWL: Uncertainty Modeling in Semantic Web Ontologies
October 28, 2005
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.
InBook
Springer-Verlag
Studies in Fuzziness and Soft Computing
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