Axiomatization of Approximate Exclusion

We define and axiomatize approximate exclusion atoms in the team semantic setting. A team is a set of assignments, which can be seen as a mathematical model of a uni-relational database. We say that an approximate exclusion atom is satisfied in a team if the corresponding usual exclusion atom is satisfied in a large enough subteam. We consider the implication problem for a set of approximate exclusion atoms and show that it is axiomatizable for consequences with a degree of approximation that is not too large. We prove the completeness theorem for usual exclusion atoms, currently missing from the literature, and generalize it to the approximate case. We also provide a polynomial time algorithm for the implication problems. The results can also be applied to exclusion dependencies in database theory.

Authors

Institutions

Publication Details

Published
2024-10-26
DOI
https://doi.org/10.24963/kr.2024/38
Citations
2
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Axiomatization of Approximate Exclusion

Max M. Häggblom
2 citations
Advanced Graph Theory Research
0.72
article

Axiomatization of Approximate Exclusion

Max M. Häggblom
article en
2 citations

Abstract

We define and axiomatize approximate exclusion atoms in the team semantic setting. A team is a set of assignments, which can be seen as a mathematical model of a uni-relational database. We say that an approximate exclusion atom is satisfied in a team if the corresponding usual exclusion atom is satisfied in a large enough subteam. We consider the implication problem for a set of approximate exclusion atoms and show that it is axiomatizable for consequences with a degree of approximation that is not too large. We prove the completeness theorem for usual exclusion atoms, currently missing from the literature, and generalize it to the approximate case. We also provide a polynomial time algorithm for the implication problems. The results can also be applied to exclusion dependencies in database theory.

University of Helsinki (FI)
Helsingin Yliopisto, European Commission
Openalex Percentile: Top 25%
Advanced Graph Theory Research
0.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.