The MIEL++ Architecture – When RDB, GCs and XML Meet for the Sake of Risk Assessment in Food Products - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2006

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.

Dates and versions

lirmm-00113002 , version 1 (10-11-2006)

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Cite

Patrice Buche, Juliette Dibie-Barthelemy, 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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