Soft Computing in Ontologies and Semantic Web

BayesOWL: Uncertainty Modeling in Semantic Web Ontologies

Zhongli Ding, Yun Peng, and Rong Pan

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.

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

Type: InBook

Publisher: Springer-Verlag

Series: Studies in Fuzziness and Soft Computing

Downloads: 3930 downloads

Google Scholar Citations: 48 citations