US-SQL: Managing Uncertain Schemata
Summary: Demo of US-SQL for managing uncertain schemata, focusing metadata meaning rather than value uncertainty. Enables creating alternative probabilistic schemata, querying over them, and storing the metadata uncertainty in a relational backend. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Matteo Magnani (University of Bologna)
- 2. Danilo Montesi (University of Bologna)
BibTeX Citation
@inproceedings{magnani_sigmod10,
title = {{US-SQL: Managing Uncertain Schemata}},
author = {Magnani, Matteo and Montesi, Danilo},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807317},
url = {https://dl.acm.org/doi/10.1145/1807167.1807317},
year = {2010}
}
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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 |
|---|---|---|---|---|
| 125 | Trio: A System for Integrated Management of Data, Accuracy, and Lineage | 2005 | CIDR | 0.00030932014 |
| 683 | MYSTIQ: A system for finding more answers by using probabilities | 2005 | SIGMOD | 0.00015005338 |
| 1,638 | U-DBMS: A Database System for Managing Constantly-Evolving Data | 2005 | VLDB | 0.00010155338 |
| 1,649 | Bootstrapping Pay-As-You-Go Data Integration Systems | 2008 | SIGMOD | 0.00010117306 |
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