The MIEL++ architecture when RDB, CGs and XML meet for the sake of risk assessment in food products

Authors:
Patrice Buche;Juliette Dibie-Barthélemy;Ollivier Haemmerlé;Rallou Thomopoulos
Affiliations:
Unité INRA Mét@risk, Paris;Unité INRA Mét@risk, Paris;Département de Mathématiques-Informatique, GRIMM-ISYCOM, Université de Toulouse le Mirail, Toulouse;INRA – UMR IATE – bat. 31, Montpellier
Venue:
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Year:
2006

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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 end-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.