[WORK DOCUMENT] Towards interactive causal relation discovery driven by an ontology

Mélanie Munch (1) , Juliette Dibie-Barthelemy (1) , Cristina Manfredotti (1) , Pierre-Henri Wuillemin (2)

1 MIA-Paris - Mathématiques et Informatique Appliquées
2 DECISION

In complex domains, users need to be able to find causal relations between the different attributes that compose them. Our work offers a way to help users to uncover such relations by combining the representativity of ontologies and the flexibility of probabilistic relational models, and provides them with an interactive and iterative process in order to validate or modify the obtained results.

Mots clés: Ontology; Probabilistic Relational Model; Causal Relation

Domaines: Intelligence artificielle [cs.AI]

Mélanie Munch, Juliette Dibie-Barthelemy, Cristina Manfredotti, Pierre-Henri Wuillemin. [WORK DOCUMENT] Towards interactive causal relation discovery driven by an ontology. 2018. ⟨hal-01823862⟩