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

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.
Type de document :
Communication dans un congrès
ICCS: International Conference on Conceptual Structures, Jul 2006, Aalborg, Denmark. Springer Verlag, 14th International Conference on Conceptual Structures, LNCS (4068), pp.158-171, 2006, Conceptual Structures: Inspiration and Application. 〈10.1007/11787181_12〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00113002
Contributeur : Rallou Thomopoulos <>
Soumis le : vendredi 10 novembre 2006 - 13:56:20
Dernière modification le : samedi 27 janvier 2018 - 01:30:45

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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. Springer Verlag, 14th International Conference on Conceptual Structures, LNCS (4068), pp.158-171, 2006, Conceptual Structures: Inspiration and Application. 〈10.1007/11787181_12〉. 〈lirmm-00113002〉

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