ActivePDB: Active Probabilistic Databases
Summary: ActivePDB proposes an end-to-end framework for uncertain relational data with an oracle for verification. It uses provenance to map outputs to inputs and active learning to minimize verifications, updating probabilities; demonstrated on NELL. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Osnat Drien (Bar-Ilan University)
- 2. Matanya Freiman (Bar-Ilan University)
- 3. Yael Amsterdamer (Bar-Ilan University)
BibTeX Citation
@article{drien_vldb22,
title = {{ActivePDB: Active Probabilistic Databases}},
author = {Drien, Osnat and Freiman, Matanya and Amsterdamer, Yael},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3638--3641},
doi = {10.14778/3554821.3554863},
url = {https://doi.org/10.14778/3554821.3554863},
year = {2022}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059752575 |
| 104 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00033690989 |
| 1,099 | KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing | 2015 | SIGMOD | 0.00012037058 |
| 2,504 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.3782213e-05 |
| 5,061 | CDB: A Crowd-Powered Database System | 2018 | VLDB | 6.2912543e-05 |
| 5,779 | Consistent Query Answers in Inconsistent Probabilistic Databases | 2010 | SIGMOD | 5.9976039e-05 |
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