Enabling Personal Consent in Databases
Summary: Enables fine-grained consent constraints and personal data usage contracts in relational databases. A provenance-based framework automatically enforces these constraints by filtering query results through unification-based rewriting; implemented in open-source RDBMS and evaluated on TPC-H and ICU data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. George Konstantinidis (University of Southampton)
- 2. Jet Holt (University of Southampton)
- 3. Adriane Chapman (University of Southampton)
BibTeX Citation
@article{konstantinidis_vldb22,
title = {{Enabling Personal Consent in Databases}},
author = {Konstantinidis, George and Holt, Jet and Chapman, Adriane},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {2},
pages = {375--387},
doi = {10.14778/3489496.3489516},
url = {https://doi.org/10.14778/3489496.3489516},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,503 | Disclosure-Compliant Query Answering | 2024 | SIGMOD | 5.6029996e-05 |
| 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.3058708e-05 |
| 10,421 | A Game Theory Approach for Negotiating in Data Marketplaces | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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