Ontology-based inference for causal explanation

Philippe Besnard 1 Marie-Odile Cordier 1 Yves Moinard 1
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.
Type de document :
Communication dans un congrès
Zili Zhang and Jörg Siekmann. KSEM07 (Second International Conference on Knowledge Science, Engineering and Management), 2007, Melbourne, Australia. Springer, pp.153-164, 2007, LNAI
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https://hal.inria.fr/inria-00463001
Contributeur : René Quiniou <>
Soumis le : mercredi 10 mars 2010 - 18:08:12
Dernière modification le : mercredi 16 mai 2018 - 11:23:02

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  • HAL Id : inria-00463001, version 1

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Philippe Besnard, Marie-Odile Cordier, Yves Moinard. Ontology-based inference for causal explanation. Zili Zhang and Jörg Siekmann. KSEM07 (Second International Conference on Knowledge Science, Engineering and Management), 2007, Melbourne, Australia. Springer, pp.153-164, 2007, LNAI. 〈inria-00463001〉

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