DBScholar

Back to papers

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)

Paper ID
13067
Venue
VLDB
Year
2022
Pagerank
5.3018457e-05
Overall Rank
9,228 | 36.69%
DOI
10.14778/3489496.3489516

Incoming Non-self Citations Over Time

Authors

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
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers