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Snowball: A Prototype System for Extracting Relations from Large Text Collections

Summary: Snowball is a prototype system that extracts organization–location relations from large text collections, producing a structured relation (a materialized view) over unstructured documents. An interactive, low-human-participation demo that builds on Brin's DIPRE approach to iterative extraction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3380
Venue
SIGMOD
Year
2001
Pagerank
8.1801198e-05
Overall Rank
2,743 | 81.19%
DOI
10.1145/375663.375774

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{agichtein_sigmod01,
        title = {{Snowball: A Prototype System for Extracting Relations from Large Text Collections}},
        author = {Agichtein, Eugene and Gravano, Luis and Pavel, Jeff and Sokolova, Viktoriya and Voskoboynik, Aleksandr},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375774},
        url = {https://dl.acm.org/doi/10.1145/375663.375774},
        year = {2001}
}

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