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Conference Papers Year : 2012

Food science and knowledge engineering: a challenging encounter

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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Dates and versions

hal-01190217 , version 1 (01-09-2015)

Identifiers

  • HAL Id : hal-01190217 , version 1
  • PRODINRA : 182989

Cite

Patrice Buche, Juliette Dibie-Barthelemy, Liliana Ibanescu, Valérie Guillard, Rim Touhami. Food science and knowledge engineering: a challenging encounter. EFFoST'2012: European Federation of Food Science and Technology, Nov 2012, Montpellier, France. ⟨hal-01190217⟩
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