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Capturing Missing Tuples and Missing Values

Summary: Introduce c-instances—conditional tables constrained by master data—to model partially closed databases with both missing tuples and missing values, and define three semantics for query completeness under different value-instantiation regimes. Study four problems (completeness checking, existence, minimal-size completeness, bounded-size existence) and establish matching upper and lower complexity bounds across several query languages for each completeness model. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hf1f025454fde94bd
Venue
PODS
Year
2010
Pagerank
6.0085833e-05
Overall Rank
5,740 | 61.43%
DOI
10.1145/1807085.1807109

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{fan_pods10,
        address = {New York, NY, USA},
        series = {{PODS} '10},
        title = {{Capturing Missing Tuples and Missing Values}},
        url = {https://dl.acm.org/doi/10.1145/1807085.1807109},
        doi = {10.1145/1807085.1807109},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Fan, Wenfei and Geerts, Floris},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,148 Identifying the Extent of Completeness of Query Answers over Partially Complete Databases 2015 SIGMOD 5.8684233e-05
8,174 Complete Approximations of Incomplete Queries 2013 VLDB 5.3822481e-05
12,701 Completeness of Queries over Incomplete Databases 2011 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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