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The miel++ architecture when rdb, cgs and xml meet for the sake of risk assessment in food products
pp. 158-171
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.
Publication details
Published in:
Hitzler Pascal, Øhrstrøm Peter (2006) Conceptual structures: inspiration and application: 14th international conference on conceptual structures, iccs 2006, aalborg, denmark, july 16-21, 2006. proceedings. Dordrecht, Springer.
Pages: 158-171
DOI: 10.1007/11787181_12
Full citation:
Buche Patrice, Dibie-Barthélemy Juliette, Haemmerlé Ollivier, Thomopoulos Rallou (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, 158–171.