Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers
Summary: UA-DBs fuse under- and over-approximations of certain answers to balance reliability and performance. Using incomplete K-relations, UA-DBs generalize incomplete databases, allow explicitly marked uncertain answers, and yield tight, high-utility approximations with efficient evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Su Feng (Illinois Institute of Technology)
- 2. Aaron Huber (State University of New York at Buffalo)
- 3. Boris Glavic (Illinois Institute of Technology)
- 4. Oliver Kennedy (State University of New York at Buffalo)
BibTeX Citation
@inproceedings{feng_sigmod19,
title = {{Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers}},
author = {Feng, Su and Huber, Aaron and Glavic, Boris and Kennedy, Oliver},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319887},
url = {https://dl.acm.org/doi/10.1145/3299869.3319887},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,507 | Troubles with Nulls, Views from the Users | 2022 | VLDB | 6.1009808e-05 |
| 6,013 | SQL Nulls and Two-Valued Logic | 2023 | PODS | 5.9141967e-05 |
| 6,046 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.9052121e-05 |
| 7,704 | ReStore - Neural Data Completion for Relational Databases | 2021 | SIGMOD | 5.4741304e-05 |
| 8,426 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 5.3350162e-05 |
| 8,886 | FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds | 2025 | SIGMOD | 5.2559789e-05 |
| 9,002 | Coping with Incomplete Data: Recent Advances | 2020 | PODS | 5.2394054e-05 |
| 9,374 | Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data | 2023 | VLDB | 5.1868213e-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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