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CAvSAT: A System for Query Answering over Inconsistent Databases

Summary: CAvSAT, Consistent Answering via Satisfiability, is a SAT-based CQA system for inconsistent databases using the repair semantics. It targets scalable, broad-constraint consistent query answering, proposing a novel approach and reporting preliminary prototype experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5626
Venue
SIGMOD
Year
2019
Pagerank
4.5712945e-05
Overall Rank
8,166 | 43.20%
DOI
10.1145/3299869.3300095

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,273 Cleaning Denial Constraint Violations through Relaxation 2020 SIGMOD 6.3003864e-05
7,605 The Computation of Optimal Subset Repairs 2020 VLDB 4.697534e-05
9,250 CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT Solving 2021 SIGMOD 4.3690661e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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