SPROUT2: A Squared Query Engine for Uncertain Web Data
Summary: SPROUT2 is a squared query engine for uncertain web data, enabling probabilistic queries over web tables, Google Fusion Tables, and Google Squared-derived uncertain tables. The demo centers SPROUT for ad-hoc structured querying and scenario-driven tours (movies, biomass facilities, corporate data), illustrating end-to-end probabilistic querying across heterogeneous sources. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Robert Fink (University of Oxford)
- 2. Andrew Hogue (Google)
- 3. Dan Olteanu (University of Oxford)
- 4. Swaroop Rath (University of Oxford)
BibTeX Citation
@inproceedings{fink_sigmod11,
title = {{SPROUT2: A Squared Query Engine for Uncertain Web Data}},
author = {Fink, Robert and Hogue, Andrew and Olteanu, Dan and Rath, Swaroop},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989481},
url = {https://dl.acm.org/doi/10.1145/1989323.1989481},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,811 | Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers | 2019 | SIGMOD | 6.4983069e-05 |
| 5,971 | Lenses: An On-Demand Approach to ETL | 2015 | VLDB | 6.0243066e-05 |
| 8,597 | Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning | 2017 | SIGMOD | 5.4049137e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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