Auctus: A Dataset Search Engine for Data Discovery and Augmentation
Summary: Auctus, a dataset search engine for discovering and augmenting structured data across Web tables, portals, and enterprises. Unique architecture supports rich dataset queries, exploration workflows, and case studies showing data augmentation to improve ML models and analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sonia Castelo (New York University)
- 2. Rémi Rampin (New York University)
- 3. Aécio Santos (New York University)
- 4. Aline Bessa (New York University)
- 5. Fernando Chirigati (New York University)
- 6. Juliana Freire (New York University)
BibTeX Citation
@article{castelo_vldb21,
title = {{Auctus: A Dataset Search Engine for Data Discovery and Augmentation}},
author = {Castelo, Sonia and Rampin, Rémi and Santos, Aécio and Bessa, Aline and Chirigati, Fernando and Freire, Juliana},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2791--2794},
doi = {10.14778/3476311.3476346},
url = {https://doi.org/10.14778/3476311.3476346},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 27 of 27 citing papers.
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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 |
|---|---|---|---|---|
| 765 | Table Union Search on Open Data | 2018 | VLDB | 0.00014125424 |
| 975 | Democratizing Data Science through Interactive Curation of ML Pipelines | 2019 | SIGMOD | 0.00012750518 |
| 1,038 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.00012370691 |
| 4,491 | Juneau: Data Lake Management for Jupyter | 2019 | VLDB | 6.5778095e-05 |
| 6,244 | Interactive Navigation of Open Data Linkages | 2017 | VLDB | 5.8374791e-05 |
| 13,759 | An Ecosystem of Applications for Modeling Political Violence | 2021 | SIGMOD | - |
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