SemCaDo: a serendipitous causal discovery algorithm for ontology evolution - LINA - Equipe Connaissances, Optimisation, Décision
Conference Papers Year : 2011

SemCaDo: a serendipitous causal discovery algorithm for ontology evolution

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.
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Dates and versions

hal-00596261 , version 1 (27-06-2011)

Identifiers

  • HAL Id : hal-00596261 , version 1

Cite

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor. SemCaDo: a serendipitous causal discovery algorithm for ontology evolution. The IJCAI-11 Workshop on Automated Reasoning about Context and Ontology Evolution, Jul 2011, Barcelone, Spain. ⟨hal-00596261⟩
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