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Using the Structure of Web Sites for Automatic Segmentation of Tables

Summary: Automatic extraction and segmentation of records from web tables without user input; leverages common table/list layouts and detail-page links. Two algorithms: constraint-based CSP using detail-page constraints, and probabilistic inference, domain-independent and tested on twelve sites. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3574
Venue
SIGMOD
Year
2004
Pagerank
7.3452966e-05
Overall Rank
3,523 | 75.84%
DOI
10.1145/1007568.1007584

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lerman_sigmod04,
        title = {{Using the Structure of Web Sites for Automatic Segmentation of Tables}},
        author = {Lerman, Kristina and Getoor, Lise and Minton, Steven and Knoblock, Craig},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007584},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007584},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
340 Crawling the Hidden Web 2001 VLDB 0.00020711119
503 RoadRunner: Towards Automatic Data Extraction from Large Web Sites 2001 VLDB 0.00017314037
588 Extracting Structured Data from Web Pages 2003 SIGMOD 0.00016092668
717 Automatic segmentation of text into structured records 2001 SIGMOD 0.00014649121
2,329 Record-Boundary Discovery in Web Documents 1999 SIGMOD 8.7453177e-05
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