GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages

Summary: GeoDeepDive shows end-to-end statistical inference over geology articles (text, tables, figures), addressing acquisition, extraction, and integration in a DB-like workflow. It uniquely supports feature engineering in SQL or Python and analyzes feedback from expert labeling, distant supervision, rules, and crowdsourcing within a traditional database-ML setting. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4676
Venue: SIGMOD
Year: 2013
Pagerank: 5.7469874e-05
Overall Rank: 6,881 | 52.80%
DOI: 10.1145/2463676.2463680

Incoming Non-self Citations Over Time

Authors

1. Ce Zhang (University of Wisconsin)
2. Vidhya Govindaraju (University of Wisconsin)
3. Christopher Ré (University of Wisconsin)
4. Jackson Borchardt (University of Wisconsin)
5. Shanan Peters (University of Wisconsin)
6. Tim Foltz (University of Wisconsin)

BibTeX Citation

@inproceedings{zhang_sigmod13,
        title = {{GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages}},
        author = {Zhang, Ce and Govindaraju, Vidhya and Ré, Christopher and Borchardt, Jackson and Peters, Shanan and Foltz, Tim},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463680},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463680},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,490	SlimShot: In-Database Probabilistic Inference for Knowledge Bases	2016	VLDB	6.6666905e-05
11,923	A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System	2018	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
1,043	Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS	2011	VLDB	0.0001244565
3,952	Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers	2013	SIGMOD	6.9967272e-05

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