The MIEL++ Architecture – When RDB, GCs and XML Meet for the Sake of Risk Assessment in Food Products

Patrice Buche 1, 2 Juliette Dibie 3 Ollivier Haemmerlé 4 Rallou Thomopoulos 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
2 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
3 MET@RISK - Méthodologies d'Analyse de Risque Alimentaire
4 SES - Sciences, Espaces et Sociétés
Abstract : This article presents a data warehouse used for risk assessment in food products. The experimental data stored in this warehouse are heterogeneous, they may be imprecise; the data warehouse itself is incomplete by nature. The MIEL++ system – which is partially commercialized – is composed of three databases which are queried simultaneously, and which are expressed in three different data models: the relational model, the conceptual graph model and XML. Those models have been extended in order to allow the representation of fuzzy values. In the MIEL++ language, used to query the data warehouse, the users can express preferences in their queries by means of fuzzy sets. Fuzzy pattern matching techniques are used in order to compare preferences and imprecise values.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00113002
Contributor : Rallou Thomopoulos <>
Submitted on : Friday, November 10, 2006 - 1:56:20 PM
Last modification on : Tuesday, August 13, 2019 - 1:09:29 AM

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CIRAD | UNIV-TLSE2 | INRA | GRAPHIK | INRIA | AGROPARISTECH | LIRMM | MIPS | BA | UNIV-MONTPELLIER | MIA-PARIS | IATE

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Patrice Buche, Juliette Dibie, Ollivier Haemmerlé, Rallou Thomopoulos. The MIEL++ Architecture – When RDB, GCs and XML Meet for the Sake of Risk Assessment in Food Products. ICCS: International Conference on Conceptual Structures, Jul 2006, Aalborg, Denmark. pp.158-171, ⟨10.1007/11787181_12⟩. ⟨lirmm-00113002⟩

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