Ontology Learning Through Bayesian Networks

In this paper, we propose a method for learning ontologies used to model a domain in the field of intelligent e-learning systems. This method is based on the use of the formalism of Bayesian networks for representing ontologies, as well as on the use of a learning algorithm that obtains the corresponding probabilistic model starting from the results of the evaluation tests associated with the didactic contents under examination. Finally, we present an experimental evaluation of the method using real world data