Trio: A System for Data, Uncertainty, and Lineage
Summary: Trio makes uncertainty and data lineage first-class alongside data in an extended relational model. Its ULDB representation and TriQL language support integrated storage, querying, and exploration of uncertain results and their provenance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Parag Agrawal (Stanford University)
- 2. Omar Benjelloun (Stanford University)
- 3. Anish Das Sarma (Stanford University)
- 4. Chris Hayworth (Stanford University)
- 5. Shubha Nabar (Stanford University)
- 6. Tomoe Sugihara (Stanford University)
- 7. Jennifer Widom (Stanford University)
BibTeX Citation
@article{agrawal_vldb06,
title = {{Trio: A System for Data, Uncertainty, and Lineage}},
author = {Agrawal, Parag and Benjelloun, Omar and Sarma, Anish Das and Hayworth, Chris and Nabar, Shubha and Sugihara, Tomoe and Widom, Jennifer},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1151},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 42 of 42 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 125 | Trio: A System for Integrated Management of Data, Accuracy, and Lineage | 2005 | CIDR | 0.00030932014 |
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