Answering questions that may have answers in the future: a case study in food science

Rallou Thomopoulos 1, 2 Jean-Rémi Bourguet 1, 3 Bernard Cuq 3 Amadou Ndiaye 2
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper presents a method to represent the evolution of objects during their life cycle, using a logic- and graph-based knowledge representation model. An extension is proposed in order to answer {''prospective queries''}, concerning the achievement, in the future, of the searched piece of knowledge. A case study in the field of cereal transformation illustrates the proposed approach.
Type de document :
Article dans une revue
Knowledge-Based Systems, Elsevier, 2010, 23 (5), pp.491-495
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00538643
Contributeur : Rallou Thomopoulos <>
Soumis le : mardi 23 novembre 2010 - 09:44:47
Dernière modification le : vendredi 12 janvier 2018 - 11:03:48

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  • HAL Id : lirmm-00538643, version 1

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Rallou Thomopoulos, Jean-Rémi Bourguet, Bernard Cuq, Amadou Ndiaye. Answering questions that may have answers in the future: a case study in food science. Knowledge-Based Systems, Elsevier, 2010, 23 (5), pp.491-495. 〈lirmm-00538643〉

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