Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries
Summary: Proposes an equivalence-invariant provenance model for a fragment of hyperplane-update queries, grounded in Karabeg–Vianu axiomatization. Uses a normal-form provenance to avoid blowup, enabling efficient generation during evaluation; experiments show scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pierre Bourhis (CNRS; University of Lille)
- 2. Daniel Deutch (Tel Aviv University)
- 3. Yuval Moskovitch (Tel Aviv University)
BibTeX Citation
@inproceedings{bourhis_sigmod20,
title = {{Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries}},
author = {Bourhis, Pierre and Deutch, Daniel and Moskovitch, Yuval},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380578},
url = {https://dl.acm.org/doi/10.1145/3318464.3380578},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,919 | Efficient Answering of Historical What-if Queries | 2022 | SIGMOD | 6.3544814e-05 |
| 10,625 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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