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Fuzzy Query By Example

Abstract : This paper describes Fuzzy Query By Example, an approach helping users retrieve data without any prior knowledge of the database schema or any formal querying language. The user is solicited to evaluate, in a binary way, pre-selected items of the database. We provide a characterization-based strategy that identifies the properties shared by the examples (resp. counterexamples) positively (resp. negatively) evaluated by the user. These properties are expressed using linguistic terms from a fuzzy vocabulary to ensure that the user has a good understanding of the inferred query.
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Contributor : Grégory Smits <>
Submitted on : Wednesday, December 13, 2017 - 3:21:22 PM
Last modification on : Friday, March 6, 2020 - 4:46:02 PM


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  • HAL Id : hal-01662908, version 1


Aurélien Moreau, Olivier Pivert, Grégory Smits. Fuzzy Query By Example. SAC 2018 - The 33rd ACM/SIGAPP Symposium On Applied Computing, Apr 2018, Pau, France. ⟨hal-01662908⟩



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