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* Corresponding author 1 LARODEC - Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus 2 LINA - Laboratoire d-Informatique de Nantes Atlantique

Abstract : With the rising need to reuse the existing knowledge when learning Causal Bayesian Networks CBNs, the ontologies can supply valuable semantic information to make further interesting discoveries with the minimum expected cost and effort. In this paper, we propose a cyclic approach in which we make use of the ontology in an interchangeable way. The first direction involves the integration of semantic knowledge to anticipate the optimal choice of experimentations via a serendipitous causal discovery strategy. The second complementary direction concerns an enrichment process by which it will be possible to reuse these causal discoveries, support the evolving character of the semantic background and make an ontology evolution.

Keywords : Ontologies CBNs Serendipity Causal discovery Experimentations Ontology evolution

Autor: Montassar Ben Messaoud - Philippe Leray - Nahla Ben Amor -



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