PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bellandi A., Turini F. Mining Bayesian networks out of ontologies. In: Journal of Intelligent Information Systems, vol. 38 (2) pp. 507 - 532. Springer, 2012.
 
 
Abstract
(English)
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
URL: http://link.springer.com/article/10.1007%2Fs10844-011-0165-4
DOI: 10.1007/s10844-011-0165-4
Subject Probabilistic reasoning
Ontology queries
H.2.8 Database Applications


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