Knowledge Engineering, a Useful Tool for Integrating Food Chain

Abstract : Issued from cognitive sciences, computer sciences and applied mathematics, Knowledge (K) Engineering encompasses modelling and can be roughly defined by three steps: acquisition of available K, representation of acquired K and computational use of represented K for simulation, validation and optimisation purposes. These different steps are illustrated for various applications to food industry like the durum wheat chain, dough mixing for breadmaking, cheese ripening, based on specific approaches like decision trees and conceptual graphs, qualitative reasoning, Bayesian networks and optimisation under uncertainty and multi-criteria flexible querying, respectively. The application of such approaches opens prospects for the virtual design of food products which will be of help for the sustainable production of high quality foods.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00611959
Contributor : Patrice Buche <>
Submitted on : Wednesday, July 27, 2011 - 6:20:25 PM
Last modification on : Monday, September 2, 2019 - 2:46:08 PM

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  • HAL Id : lirmm-00611959, version 1

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Cédric Baudrit, Patrice Buche, Guy Della Valle, Sébastien Destercke, Kamal Kansou, et al.. Knowledge Engineering, a Useful Tool for Integrating Food Chain. 6th International CIGR Technical Symposium, Apr 2011, Nantes, France. ⟨lirmm-00611959⟩

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