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HDSampler: Revealing Data Behind Web Form Interfaces

Summary: HDSampler is the first practical system for sampling structured hidden web databases via web forms. It enables efficient sampling and accurate aggregate queries, demonstrated on Google Base to reveal marginal attribute distributions in minutes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4286
Venue
SIGMOD
Year
2009
Pagerank
-
Overall Rank
13,742 | 5.72%
DOI
10.1145/1559845.1560001

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{maiti_sigmod09,
        title = {{HDSampler: Revealing Data Behind Web Form Interfaces}},
        author = {Maiti, Anirban and Dasgupta, Arjun and Zhang, Nan and Das, Gautam},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1560001},
        url = {https://dl.acm.org/doi/10.1145/1559845.1560001},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
13,612 HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases 2014 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5,868 A Random Walk Approach to Sampling Hidden Databases 2007 SIGMOD 6.0613238e-05
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