R. Studer, Knowledge engineering: Principles and methods, Data & Knowledge Engineering, vol.25, issue.1-2, pp.161-197, 1998.
DOI : 10.1016/S0169-023X(97)00056-6

H. Nottelmann and N. Fuhr, ADDING PROBABILITIES AND RULES TO OWL LITE SUBSETS BASED ON PROBABILISTIC DATALOG, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.14, issue.01, pp.17-42, 2006.
DOI : 10.1142/S0218488506003819

J. Heinsohn, Probabilistic Description Logics, Proceedings UAI-1994, pp.311-318, 1994.
DOI : 10.1016/B978-1-55860-332-5.50044-4

URL : http://arxiv.org/abs/1302.6817

M. Pool, J. I. Aikin, and P. C. Da-costa, KEEPER and Protégé: An elicitation environment for Bayesian inference tools, Proceedings of the Workshop on Protégé and Reasoning held at the PR-OWL: A Bayesian ontology language for the Semantic Web Proceedings URSW, pp.23-33, 2004.

L. Philippe, Réseaux bayésiens : apprentissage et modélisation de systèmes complexes, 2006.

Y. Yang and J. Calmet, OntoBayes: An Ontology-Driven Uncertainty Model, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2005.
DOI : 10.1109/CIMCA.2005.1631307

Z. Ding and Y. Peng, A probabilistic extension to ontology language OWL, Proceedings HICSS, 2004.

D. Koller and A. Levy, P-CLASSIC: A tractable probabilistic description logic, Proceedings AAAI-1997, pp.390-397, 1997.

. Revoredob, Methods and Tools for Ontology Evolution, Computing Inferences for Credal ALC Terminologies. Stanjanovic L, 2004.