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Food transformation process description using PO2 and FoodOn

Patrice Buche 1, 2 Julien Cufi 2 Stéphane Dervaux 3 Juliette Dibie 3 Liliana Ibanescu 4, 3 Alrick Oudot 2 Magalie Weber 5
1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
3 MIA-Paris - Mathématiques et Informatique Appliquées
4 AgroParisTech
5 BIA - Unité de recherche sur les Biopolymères, Interactions Assemblages
Abstract : The food production and processing sector are facing sustainability challenges of growing complexity. To tackle these challenges, data and knowledge from many different domains may be structured and stored using an ontol-ogy, a semantic model. In this paper we present a core ontology designed to model processes and observations from food domains. Three datasets struc-tured according with this ontology are stored into a repository. Dedicated tools were designed to assist domain experts in integrating and querying data. Semantic integration of data from food transformation domains may enable new decision support tools for new products with good qualities and eco-friendly properties.
Keywords : food component modeling ontology ecosystem semantic integration domain ontology food transformation process observation
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Conference papers
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https://hal-agroparistech.archives-ouvertes.fr/hal-03013147
Contributor : Liliana Ibanescu <>
Submitted on : Wednesday, November 18, 2020 - 7:00:45 PM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM

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  • HAL Id : hal-03013147, version 1

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AGROPARISTECH | IATE | LIRMM | CIRAD | MIPS | UNIV-MONTPELLIER | CNRS | INRAE | MONTPELLIER-SUPAGRO | MIA-PARIS | BA

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Patrice Buche, Julien Cufi, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, et al.. Food transformation process description using PO2 and FoodOn. Integrated Food Ontology Workshop (IFOW) @ ICBO, Sep 2020, Bolzano (virtual), Italy. ⟨hal-03013147⟩

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