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Incomplete Data: What Went Wrong, and How to Fix It

Summary: Diagnoses SQL and complexity-focused theory as inadequate for real-world incomplete data, exposing a gap between practice and theory. Proposes a practical unified framework combining certain answers/representation systems, logical-theory DB view, and information-orderings. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1636
Venue
PODS
Year
2014
Pagerank
6.2907571e-05
Overall Rank
5,271 | 63.84%
DOI
10.1145/2594538.2594561

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{libkin_pods14,
        address = {New York, NY, USA},
        series = {{PODS} '14},
        title = {{Incomplete Data: What Went Wrong, and How to Fix It}},
        url = {https://dl.acm.org/doi/10.1145/2594538.2594561},
        doi = {10.1145/2594538.2594561},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Libkin, Leonid},
        year = {2014}
}

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