How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail - Inria - Institut national de recherche en sciences et technologies du numérique
Chapitre D'ouvrage Année : 2015

How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail

Résumé

Telling the user that there is no result for his/her query is very poorly informative and corresponds to the kind of situation cooperative systems try to avoid. Cooperative systems should rather explain the reason(s) of the failure, materialized by Minimal Failing Subqueries (MFS), and build alternative succeeding queries, called maXimal Succeeding Subqueries (XSS), that are as close as possible to the original query. In the particular context of fuzzy querying, we propose an efficient unified approach to the computation of gradual MFSs and XSSs that relies on a fuzzy-cardinality-based summary of the relevant part of the database.
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Dates et versions

hal-01186515 , version 1 (25-08-2015)

Identifiants

Citer

Olivier Pivert, Grégory Smits. How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail. Fifty Years of Fuzzy Logic and its Applications, 326, Springer, pp.499-517, 2015, Studies in Fuzziness and Soft Computing, ⟨10.1007/978-3-319-19683-1_25⟩. ⟨hal-01186515⟩
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