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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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Contributor : Philippe Leray Connect in order to contact the contributor
Submitted on : Friday, April 17, 2020 - 4:08:22 PM
Last modification on : Wednesday, April 27, 2022 - 3:43:24 AM


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  • HAL Id : hal-00645000, version 1


Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor. Semcado: a serendipitous causal discovery algorithm for ontology evolution. ARCOE 2011, 2011, Barcelona, Spain. pp.43-47. ⟨hal-00645000⟩



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