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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
1637
Venue
PODS
Year
2014
Pagerank
5.4759469e-05
Overall Rank
5,494 | 61.79%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,388 Troubles with Nulls, Views from the Users 2022 VLDB 5.5373113e-05
6,273 Identifying the Extent of Completeness of Query Answers over Partially Complete Databases 2015 SIGMOD 5.1323078e-05
6,683 Probabilistic Databases for All 2020 PODS 4.9638979e-05
8,261 Counting Problems over Incomplete Databases 2020 PODS 4.5483999e-05
8,803 Coping with Incomplete Data: Recent Advances 2020 PODS 4.4470842e-05
9,316 READY: Completeness is in the Eye of the Beholder 2017 CIDR 4.3559005e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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