Based on the syntax and model-theoretic semantic defined for Bayes-SWRL, we propose a probabilistic reasoning algorithm, which is employed to implement the ...

Based on the syntax and model-theoretic semantic defined for Bayes-SWRL, we propose a probabilistic reasoning algorithm, which is employed to implement the ...

Since probability theory is more suitable than fuzzy logic to make prediction about event from a state of partial knowledge, a probabilistic extension of SWRL, ...

Bayes-SWRL: Liu et al. [7] proposed an extension to SWRL using Bayesian logic programs. This language is mainly used to predict the event from partial knowledge ...

Bayes-swrl: A probabilistic extension of swrl. In International Conference on Computational Intelligence and Security (CIS), 2013. Google Scholar. Cited by ...

Bayes-SWRL: A Probabilistic Extension of SWRL · Vague-SWRL: A Fuzzy Extension of SWRL · SWRL-F: a fuzzy logic extension of the semantic web rule language.

Mar 27, 2019 · A probabilistic extension of the SWRL formalism, 'Bayes-. SWRL', was also discussed as another uncertainty-handling or predictive model- ing ...

Based on the syntax and model-theoretic semantic defined for Bayes-SWRL, we propose a probabilistic reasoning algorithm, which is employed to implement the ...

Bayes-SWRL: A Probabilistic Extension of SWRL. CIS '13: Proceedings of the 2013 Ninth International Conference on Computational Intelligence and Security. In ...

BayesOWL provides a set of rules and procedures for direct translation of an OWL ontology into a BN directed acyclic graph (DAG), it also provides a method ...