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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)

Paper ID
5267
Venue
SIGMOD
Year
2016
Pagerank
6.717496e-05
Overall Rank
4,410 | 69.75%
DOI
10.1145/2882903.2904442

Incoming Non-self Citations Over Time

Authors

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}
}

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