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BayesOWL: Uncertainty Modeling in Semantic Web Ontologies

Authors: Zhongli Ding, Yun Peng, and Rong Pan

Book Title: Soft Computing in Ontologies and Semantic Web

Date: October 28, 2005

Abstract: 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.

Type: InBook

Publisher: Springer-Verlag

Series: Studies in Fuzziness and Soft Computing

Pages: 27

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

Google Scholar: _cd-dQSew14J

Number of Google Scholar citations: 48 [show citations]

Number of downloads: 2390


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