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

Rallou Thomopoulos; Jean-Rémi Bourguet; Bernard Cuq; Amadou Ndiaye

doi:10.1016/j.knosys.2010.02.001

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

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

Rallou Thomopoulos, Jean-Rémi Bourguet, Bernard Cuq et Amadou Ndiaye

Knowledge-Based Systems, Vol.23(5), pp.491-495

2010

DOI: https://doi.org/10.1016/j.knosys.2010.02.001

Résumé

query answering

conceptual graphs

knowledge representation

céréale

graphe conceptuel

modélisation

représentation des connaissances

technologie alimentaire

cycle de vie

This paper presents a method to represent the evolution of objects during their life cycle, using a logicand 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

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Titre: Answering questions that may have answers in the future: a case study in food science
Créateurs - sans rôle: Rallou Thomopoulos - Centre National de la Recherche Scientifique
Jean-Rémi Bourguet - Université de Montpellier
Bernard Cuq - Université de Montpellier, Ingénierie des Agropolymères et Technologies Emergentes - IATE
Amadou Ndiaye - Centre National de la Recherche Scientifique
Détails de publication: Knowledge-Based Systems, Vol.23(5), pp.491-495
Identifiants: 99151830209311
Unité académique: Ingénierie des Agropolymères et Technologies Emergentes - IATE; Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Langue: English
Type de ressource: Journal article
Champs locaux: lirmm-00538643