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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
5688
Venue
SIGMOD
Year
2019
Pagerank
5.4621278e-05
Overall Rank
8,228 | 43.55%
DOI
10.1145/3299869.3300095

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dixit_sigmod19,
        title = {{CAvSAT: A System for Query Answering over Inconsistent Databases}},
        author = {Dixit, Akhil A.},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300095},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300095},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,361 Cleaning Denial Constraint Violations through Relaxation 2020 SIGMOD 7.4872032e-05
8,103 The Computation of Optimal Subset Repairs 2020 VLDB 5.4867244e-05
9,480 CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT Solving 2021 SIGMOD 5.2634238e-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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