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An Operational Approach to Consistent Query Answering

Summary: Recasts CQA with operational, probabilistic repairs rather than coarse declarative minimal repairs. Enables confidence-ranked exact and approximate answers with explicit quality guarantees, often efficiently for broader constraint/query classes beyond traditional tractable islands. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
1745
Venue
PODS
Year
2018
Pagerank
6.1483242e-05
Overall Rank
5,619 | 61.45%
DOI
10.1145/3196959.3196966

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{calautti_pods18,
        address = {New York, NY, USA},
        series = {{PODS} '18},
        title = {{An Operational Approach to Consistent Query Answering}},
        url = {https://dl.acm.org/doi/10.1145/3196959.3196966},
        doi = {10.1145/3196959.3196966},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Calautti, Marco and Libkin, Leonid and Pieris, Andreas},
        year = {2018}
}

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