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I4E: Interactive Investigation of Iterative Information Extraction

Summary: I4E enables interactive post-extraction investigation of IIE systems, formalizing explain, diagnose, and repair phases with algorithms. Evaluation on a 500M-document web corpus shows effective post-extraction reasoning and repair with strong user gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4356
Venue
SIGMOD
Year
2010
Pagerank
5.6645117e-05
Overall Rank
7,239 | 50.34%
DOI
10.1145/1807167.1807253

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sarma_sigmod10,
        title = {{I4E: Interactive Investigation of Iterative Information Extraction}},
        author = {Sarma, Anish Das and Jain, Alpa and Srivastava, Divesh},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807253},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807253},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,759 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1577506e-05
4,752 Automatic Rule Refinement for Information Extraction 2010 VLDB 6.5235308e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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