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)
Incoming Non-self Citations Over Time
Authors
- 1. Panagiotis G. Ipeirotis (Columbia University)
- 2. Luis Gravano (Columbia University)
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)
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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 |
|---|---|---|---|---|
| 1,601 | Automatic Discovery of Language Models for Text Databases | 1999 | SIGMOD | 0.00010239819 |
| 1,625 | Determining Text Databases to Search in the Internet | 1998 | VLDB | 0.00010191388 |
| 4,524 | Probe, Count, and Classify: Categorizing Hidden-Web Databases | 2001 | SIGMOD | 6.6457031e-05 |
| 5,013 | STARTS: Stanford Proposal for Internet Meta-Searching | 1997 | SIGMOD | 6.4005976e-05 |
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