Towards a unified querying system of both structured and semi-structured imprecise data using fuzzy view - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2000

Towards a unified querying system of both structured and semi-structured imprecise data using fuzzy view

Abstract

This work is part of a national project which aims at building a tool for the analysis of microbial risks in food products. As a first step of this work, we propose a unified querying system which simultaneously scans two different bases: a relational database containing structured information and a conceptual graph knowledge base containing semi-structured information. These two bases contain microbiological information. To achieve this, we propose a way of translating a database query expressed in a speci fic language into a query represented by a conceptual graph. This graph is projected into the base. It can also be generalized in order to avoid silent answers.

Dates and versions

hal-02694666 , version 1 (01-06-2020)

Identifiers

Cite

Patrice Buche, Ollivier Haemmerlé. Towards a unified querying system of both structured and semi-structured imprecise data using fuzzy view. ICCS'2000, 2000, Darmstadt, Germany. pp.207-220, ⟨10.1007/10722280_14⟩. ⟨hal-02694666⟩
12 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More