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Coping with Incomplete Data: Recent Advances

Summary: Surveys advances reconciling theoretical "certain answers" with practical query evaluation for incomplete data: refines the notion of certainty, identifies tractable cases, and provides deterministic and probabilistic approximation schemes. Evaluates correctness and necessity of SQL's three-valued logic for producing query answers. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1831
Venue
PODS
Year
2020
Pagerank
5.3596619e-05
Overall Rank
8,837 | 39.38%
DOI
10.1145/3375395.3387970

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{console_pods20,
        address = {New York, NY, USA},
        series = {{PODS} '20},
        title = {{Coping with Incomplete Data: Recent Advances}},
        url = {https://dl.acm.org/doi/10.1145/3375395.3387970},
        doi = {10.1145/3375395.3387970},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Console, Marco and Guagliardo, Paolo and Libkin, Leonid and Toussaint, Etienne},
        year = {2020}
}

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