# Ontology-based inference for causal explanation

1 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : We define an inference system to capture explanations based on causal statements, using an ontology in the form of an $IS$-$A$ hierarchy. We first introduce a simple logical language which makes it possible to express that a fact causes another fact and that a fact explains another fact. We present a set of formal inference patterns from causal statements to explanation statements. These patterns exhibit ontological premises that are argued to be essential in deducing explanation statements. We provide an inference system that captures the patterns discussed.
Document type :
Conference papers
Domain :

https://hal.inria.fr/inria-00463001
Contributor : René Quiniou <>
Submitted on : Wednesday, March 10, 2010 - 6:08:12 PM
Last modification on : Thursday, November 15, 2018 - 11:57:04 AM

### Identifiers

• HAL Id : inria-00463001, version 1

### Citation

Philippe Besnard, Marie-Odile Cordier, Yves Moinard. Ontology-based inference for causal explanation. KSEM07 (Second International Conference on Knowledge Science, Engineering and Management), 2007, Melbourne, Australia. pp.153-164. ⟨inria-00463001⟩

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