哲学杂志철학 학술지哲学のジャーナルEast Asian
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Publication details

Publisher: Springer

Place: Berlin

Year: 2006

Pages: 158-171

Series: Lecture Notes in Computer Science

ISBN (Hardback): 9783540358930

Full citation:

Patrice Buche, Juliette Dibie-Barthélemy, Ollivier Haemmerlé, Rallou Thomopoulos, "The miel++ architecture when rdb, cgs and xml meet for the sake of risk assessment in food products", in: Conceptual structures: inspiration and application, Berlin, Springer, 2006

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

Publisher: Springer

Place: Berlin

Year: 2006

Pages: 158-171

Series: Lecture Notes in Computer Science

ISBN (Hardback): 9783540358930

Full citation:

Patrice Buche, Juliette Dibie-Barthélemy, Ollivier Haemmerlé, Rallou Thomopoulos, "The miel++ architecture when rdb, cgs and xml meet for the sake of risk assessment in food products", in: Conceptual structures: inspiration and application, Berlin, Springer, 2006