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The IJCAI-11 Workshop on Automated Reasoning about Context and Ontology Evolution, Barcelone : Espagne (2011)

SemCaDo: a serendipitous causal discovery algorithm for ontology evolution

Montassar Ben Messaoud (  Corresponding author ) 1, 2, Philippe Leray 2, Nahla Ben Amor 1

(2011-07-18)

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.

1:	LARODEC-Laboratoire de Recherche Opérationnelle, de Décision et de Contrôle de Processus
	Institut Spérieur de Gestion de Tunis, Tunisie
2:	Laboratoire d'Informatique de Nantes Atlantique (LINA)
	CNRS : UMR6241 – Université de Nantes – École Nationale Supérieure des Mines - Nantes

Subject

:

Computer Science/Artificial Intelligence

Keyword(s): Ontologies – CBNs – Serendipity – Causal discovery – Experimentations – Ontology evolution

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From: Montassar Ben Messaoud <>

Submitted on: Monday, 27 June 2011 07:00:09

Updated on: Monday, 27 June 2011 07:00:09