Food science and knowledge engineering: a challenging encounter

Patrice Buche 1, 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 : Starting from an example of reverse engineering problem in food science (what is the more relevant packaging for a given fresh food?), we will present complementary solutions based on knowledge engineering methods and food engineering models. A special focus will be given on termino-ontological resources (called TOR) which permit to define standardize vocabularies and knowledge associated with a given domain. We will show than TOR can be used to: (i) gather scientific data about packaging extracted from heterogeneous data sources in a data warehouse, (ii) permit flexible multi-criteria querying of the packaging data warehouse to retrieve the more relevant packaging for a given fresh food.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00764987
Contributor : Patrice Buche <>
Submitted on : Thursday, December 13, 2012 - 9:48:42 PM
Last modification on : Tuesday, November 19, 2019 - 1:19:19 AM

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  • HAL Id : lirmm-00764987, version 1

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Patrice Buche. Food science and knowledge engineering: a challenging encounter. 2012 EFFoST Annual Meeting, Nov 2012, Montpellier, France. ⟨lirmm-00764987⟩

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