DBrev: Dreaming of a Database Revolution
Summary: DBrev: a hypothetical intelligent DBMS that makes uncertainty first-class, integrating probabilistic models and statistical inference to manage noisy, anonymized, sensor and IE/integration data. Identifies core features, architectural implications, and open research challenges. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Gjergji Kasneci (Microsoft)
- 2. Jurgen Van Gael (Microsoft)
- 3. Thore Graepel (Microsoft)
BibTeX Citation
@inproceedings{kasneci_cidr11,
address = {Amsterdam, Netherlands},
series = {{CIDR} '11},
title = {{DBrev: Dreaming of a Database Revolution}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Kasneci, Gjergji and Van Gael, Jurgen and Graepel, Thore},
year = {2011}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 331 | Trio: A System for Data, Uncertainty, and Lineage | 2006 | VLDB | 0.00020936658 |
| 820 | BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models | 2008 | VLDB | 0.00013814535 |
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