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(2006) Conceptual structures: inspiration and application, Dordrecht, Springer.
The miel++ architecture when rdb, cgs and xml meet for the sake of risk assessment in food products
Patrice Buche , Juliette Dibie-Barthélemy , Ollivier Haemmerlé , Rallou Thomopoulos
pp. 158-171
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.
Publication details
DOI: 10.1007/11787181_12
Full citation:
Buche, P. , Dibie-Barthélemy, J. , Haemmerlé, O. , Thomopoulos, R. (2006)., The miel++ architecture when rdb, cgs and xml meet for the sake of risk assessment in food products, in P. Hitzler & P. Øhrstrøm (eds.), Conceptual structures: inspiration and application, Dordrecht, Springer, pp. 158-171.
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