BayesOWL: Uncertainty Modeling in Semantic Web Ontologies

Authors: , Yun Peng, Rong Pan

Book Title: Soft Computing in Ontologies and Semantic Web

Date:

Abstract: It is always essential but diĀ±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

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

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