Axiomatizing approximate inclusion

Fuente: arXiv
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Main Author: Häggblom, Matilda
Format: Preprint
Published: 2025
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author Häggblom, Matilda
author_facet Häggblom, Matilda
contents We introduce two approximate variants of inclusion dependencies and examine the axiomatization and computational complexity of their implication problems. The approximate variants allow for some imperfection in the database and differ in how this degree is measured. One considers the error relative to the database size, while the other applies a fixed threshold independent of size. We obtain complete axiomatizations for both under some arity restrictions. In particular, restricted to unary inclusion dependencies, the implication problem for each approximate variant is decidable in PTIME. We formalise the results using team semantics, where a team corresponds to a uni-relational database.
format Preprint
id arxiv_https___arxiv_org_abs_2505_19834
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Axiomatizing approximate inclusion
Häggblom, Matilda
Logic in Computer Science
Logic
03B60, 03B70
F.4.1; H.2.4
We introduce two approximate variants of inclusion dependencies and examine the axiomatization and computational complexity of their implication problems. The approximate variants allow for some imperfection in the database and differ in how this degree is measured. One considers the error relative to the database size, while the other applies a fixed threshold independent of size. We obtain complete axiomatizations for both under some arity restrictions. In particular, restricted to unary inclusion dependencies, the implication problem for each approximate variant is decidable in PTIME. We formalise the results using team semantics, where a team corresponds to a uni-relational database.
title Axiomatizing approximate inclusion
topic Logic in Computer Science
Logic
03B60, 03B70
F.4.1; H.2.4
url https://arxiv.org/abs/2505.19834