Short communication: Answering queries that may have results in the future: A case study in food science

Authors:
Rallou Thomopoulos;Jean-Rémi Bourguet;Bernard Cuq;Amadou Ndiaye
Affiliations:
INRA, UMR1208 IATE, INRA-SupAgro-UM2-CIRAD, F34060 Montpellier, France and LIRMM, CNRS-Univ. Montpellier II, F34095 Montpellier, France;INRA, UMR1208 IATE, INRA-SupAgro-UM2-CIRAD, F34060 Montpellier, France and LIRMM, CNRS-Univ. Montpellier II, F34095 Montpellier, France;SupAgro, UMR1208 IATE, INRA-SupAgro-UM2-CIRAD, F34060 Montpellier, France;INRA, UMR927 USBB, CNRS-INRA-Univ. Bordeaux I, F33405 Talence, France
Venue:
Knowledge-Based Systems
Year:
2010

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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.