DBScholar

Back to papers

Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection

Summary: Proposes metasearch over hidden-web databases via adaptive probes to produce content summaries with absolute word-frequency estimates. Introduces a hierarchical selection algorithm using these summaries and an induced taxonomy to surpass flat methods, validated on 50 real databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3c601fd59d6d4416
Venue
VLDB
Year
2002
Pagerank
0.0001036122
Overall Rank
1,519 | 89.82%
DOI
10.1016/B978-155860869-6/50042-1

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ipeirotis_vldb02,
        title = {{Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection}},
        author = {Ipeirotis, Panagiotis G. and Gravano, Luis},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50042-1},
        url = {https://doi.org/10.1016/B978-155860869-6/50042-1},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,638 Automatic Discovery of Language Models for Text Databases 1999 SIGMOD 9.9886199e-05
1,663 Determining Text Databases to Search in the Internet 1998 VLDB 9.9393733e-05
4,623 Probe, Count, and Classify: Categorizing Hidden-Web Databases 2001 SIGMOD 6.4814577e-05
5,163 STARTS: Stanford Proposal for Internet Meta-Searching 1997 SIGMOD 6.2349815e-05
Previous Page 1 / 1 Next

Semantically Similar Papers