Computing Range Consistent Answers to Aggregation Queries via Rewriting
Summary: Computes range-consistent answers for aggregation queries under PK violations by evaluating inclusion-maximal repairs and selecting the repair that minimizes the aggregate value. Identifies query classes whose minimum can be obtained via first-order rewritings with aggregate operators. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Aziz Amezian El Khalfioui (University of Mons)
- 2. Jef Wijsen (University of Mons)
BibTeX Citation
@inproceedings{khalfioui_pods24,
address = {New York, NY, USA},
series = {{PODS} '24},
title = {{Computing Range Consistent Answers to Aggregation Queries via Rewriting}},
url = {https://dl.acm.org/doi/10.1145/3695836},
doi = {10.1145/3695836},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Khalfioui, Aziz Amezian El and Wijsen, Jef},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,093 | Rewriting Consistent Answers on Annotated Data | 2025 | PODS | 4.9793485e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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