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CIMCA
2005
IEEE

OntoBayes: An Ontology-Driven Uncertainty Model

14 years 3 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes use of probability and dependency-annotated OWL to represent uncertain information in BN structures. These extensions enhance knowledge representation in OWL and enable agents to act under uncertainty and complex structured open environments at the same time. This paper presents the underlying principles and scratches the surface of the decision theoretic agent system design based on “OntoBayes”.
Yi Yang, Jacques Calmet
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CIMCA
Authors Yi Yang, Jacques Calmet
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