Extracting Databases from Dark Data with DeepDive
Summary: DeepDive turns dark data (text, tables, images) into relational databases. Combines large-scale probabilistic inference with a novel developer interaction cycle, achieving high precision/recall at modest cost. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ce Zhang (Stanford University)
- 2. Jaeho Shin (Stanford University)
- 3. Christopher Ré (Stanford University)
- 4. Michael Cafarella (University of Michigan)
- 5. Feng Niu (Lattice Data, Inc.)
BibTeX Citation
@inproceedings{zhang_sigmod16,
title = {{Extracting Databases from Dark Data with DeepDive}},
author = {Zhang, Ce and Shin, Jaeho and Ré, Christopher and Cafarella, Michael and Niu, Feng},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2904442},
url = {https://dl.acm.org/doi/10.1145/2882903.2904442},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 749 | Data Lake Management: Challenges and Opportunities | 2019 | VLDB | 0.00014379989 |
| 2,242 | CHORUS: Foundation Models for Unified Data Discovery and Exploration | 2024 | VLDB | 8.8823802e-05 |
| 2,917 | Query-Driven On-The-Fly Knowledge Base Construction | 2018 | VLDB | 7.9661816e-05 |
| 3,271 | Ten Years of WebTables | 2018 | VLDB | 7.5779937e-05 |
| 5,058 | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale | 2019 | SIGMOD | 6.3815523e-05 |
| 8,898 | Cracking Vector Search Indexes | 2025 | VLDB | 5.3495662e-05 |
| 11,189 | StarfishDB: a Query Execution Engine for Relational Probabilistic Programming | 2024 | SIGMOD | 5.093636e-05 |
| 11,980 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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