Document - Mining Bayesian networks out of ontologies

2012

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Mining Bayesian networks out of ontologies

Bellandi A., Turini F.

Artificial Intelligence Information Systems Ontology queries Hardware and Architecture Software Computer Networks and Communications Probabilistic reasoning

Probabilistic reasoning is an essential feature when dealing with many application domains. Starting with the idea that ontologies are the right way to formalize domain knowledge and that Bayesian networks are the right tool for probabilistic reasoning, we propose an approach for extracting a Bayesian network from a populated ontology and for reasoning over it. The paper presents the theory behind the approach, its design and examples of its use

Source: Journal of intelligent information systems 38 (2012): 507–532. doi:10.1007/s10844-011-0165-4

Publisher: Kluwer Academic Publishers, Boston , Paesi Bassi

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@article{oai:it.cnr:prodotti:217291,
	title = {Mining Bayesian networks out of ontologies},
	author = {Bellandi A. and Turini F.},
	publisher = {Kluwer Academic Publishers, Boston , Paesi Bassi},
	doi = {10.1007/s10844-011-0165-4},
	journal = {Journal of intelligent information systems},
	volume = {38},
	pages = {507–532},
	year = {2012}
}