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Enterprise Information Extraction: Recent Developments and Open Challenges

Summary: Survey of enterprise information extraction: declarative languages, scalable infrastructure, and development tooling for DB-style optimization. Identifies open challenges and opportunities for the database community to advance enterprise IE. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4426
Venue
SIGMOD
Year
2010
Pagerank
6.9352304e-05
Overall Rank
4,054 | 72.19%
DOI
10.1145/1807167.1807339

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chiticariu_sigmod10,
        title = {{Enterprise Information Extraction: Recent Developments and Open Challenges}},
        author = {Chiticariu, Laura and Li, Yunyao and Raghavan, Sriram and Reiss, Frederick R.},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807339},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807339},
        year = {2010}
}

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