extended-abstract

CAvSAT: A System for Query Answering over Inconsistent Databases

Author:

Akhil A. DixitAuthors Info & Claims

SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data

Pages 1823 - 1825

https://doi.org/10.1145/3299869.3300095

Published: 25 June 2019 Publication History

Abstract

Managing inconsistencies in databases is an old, but recurring, problem. An inconsistent database is a database that violates one or more integrity constraints. In the real-world, inconsistent databases arise in several different contexts, including data warehousing and information integration. The framework of database repairs and consistent query answering (CQA) is a principled way of handling inconsistencies. In this work, we propose a novel approach that has a potential to build a comprehensive and scalable CQA system. We report preliminary experimental results on a prototype CQA system CAvSAT (Consistent Answering via Satisfiability), implemented using this approach.

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Cited By

Miao DZhang PLi JWang YCai Z(2022)Approximation and inapproximability results on computing optimal repairsThe VLDB Journal10.1007/s00778-022-00738-032:1(173-197)Online publication date: 12-Apr-2022
https://doi.org/10.1007/s00778-022-00738-0
Dixit AKolaitis PLi GLi ZIdreos SSrivastava D(2021)CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT SolvingProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3452749(2701-2705)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3452749
Miao DCai ZLi JGao XLiu X(2020)The computation of optimal subset repairsProceedings of the VLDB Endowment10.14778/3407790.340780913:12(2061-2074)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407809

Index Terms

CAvSAT: A System for Query Answering over Inconsistent Databases

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cover image ACM Conferences

SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data

June 2019

2106 pages

ISBN:9781450356435

DOI:10.1145/3299869

General Chairs:
Peter Boncz
CWI & Vrije Universiteit Amsterdam, The Netherlands
,
Stefan Manegold
CWI & Universiteit Leiden, The Netherlands
,
Program Chairs:
Anastasia Ailamaki
EPFL, Switzerland
,
Amol Deshpande
University of Maryland, USA
,
Tim Kraska
MIT, USA

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

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Published: 25 June 2019

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SIGMOD/PODS '19

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SIGMOD

SIGMOD/PODS '19: International Conference on Management of Data

June 30 - July 5, 2019

Amsterdam, Netherlands

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SIGMOD '19 Paper Acceptance Rate 88 of 430 submissions, 20%;

Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

Miao DZhang PLi JWang YCai Z(2022)Approximation and inapproximability results on computing optimal repairsThe VLDB Journal10.1007/s00778-022-00738-032:1(173-197)Online publication date: 12-Apr-2022
https://doi.org/10.1007/s00778-022-00738-0
Dixit AKolaitis PLi GLi ZIdreos SSrivastava D(2021)CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT SolvingProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3452749(2701-2705)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3452749
Miao DCai ZLi JGao XLiu X(2020)The computation of optimal subset repairsProceedings of the VLDB Endowment10.14778/3407790.340780913:12(2061-2074)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407809

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