Query Repairs

Fuente: arXiv
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Autori principali: Cate, Balder ten, Kolaitis, Phokion, Lutz, Carsten
Natura: Preprint
Pubblicazione: 2025
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author Cate, Balder ten
Kolaitis, Phokion
Lutz, Carsten
author_facet Cate, Balder ten
Kolaitis, Phokion
Lutz, Carsten
contents We formalize and study the problem of repairing database queries based on user feedback in the form of a collection of labeled examples. We propose a framework based on the notion of a proximity pre-order, and we investigate and compare query repairs for conjunctive queries (CQs) using different such pre-orders. The proximity pre-orders we consider are based on query containment and on distance metrics for CQs.
format Preprint
id arxiv_https___arxiv_org_abs_2501_11162
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Query Repairs
Cate, Balder ten
Kolaitis, Phokion
Lutz, Carsten
Databases
We formalize and study the problem of repairing database queries based on user feedback in the form of a collection of labeled examples. We propose a framework based on the notion of a proximity pre-order, and we investigate and compare query repairs for conjunctive queries (CQs) using different such pre-orders. The proximity pre-orders we consider are based on query containment and on distance metrics for CQs.
title Query Repairs
topic Databases
url https://arxiv.org/abs/2501.11162