Answering questions that may have answers in the future: a case study in food science - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Article Dans Une Revue Knowledge-Based Systems Année : 2010

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

Résumé

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

Dates et versions

lirmm-00538643 , version 1 (23-11-2010)

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Citer

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, 2010, 23 (5), pp.491-495. ⟨10.1016/j.knosys.2010.02.001⟩. ⟨lirmm-00538643⟩
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