Kosmix: High-Performance Topic Exploration using the Deep Web
Summary: Kosmix enables high-performance topic exploration over the Deep Web via a federated search engine. It is the first general-purpose topic explorer for the Deep Web, focusing on query transformation and caching to deliver scalable performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Anand Rajaraman (Kosmix Corporation)
BibTeX Citation
@article{rajaraman_vldb09,
title = {{Kosmix: High-Performance Topic Exploration using the Deep Web}},
author = {Rajaraman, Anand},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687581},
url = {https://doi.org/10.14778/1687553.1687581},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 117 | Querying Heterogeneous Information Sources Using Source Descriptions | 1996 | VLDB | 0.00032192665 |
| 263 | Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach | 2001 | SIGMOD | 0.0002305693 |
| 298 | Answering Queries Using Templates With Binding Patterns (Extended Abstract) | 1995 | PODS | 0.00022138018 |
| 340 | Crawling the Hidden Web | 2001 | VLDB | 0.00020711119 |
| 791 | An Interactive Clustering-based Approach to Integrating Source Query Interfaces on the Deep Web | 2004 | SIGMOD | 0.00013995705 |
| 1,483 | Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection | 2002 | VLDB | 0.00010633832 |
| 1,554 | Google’s Deep-Web Crawl | 2008 | VLDB | 0.00010372108 |
| 2,372 | Instance-based Schema Matching for Web Databases by Domain-specific Query Probing | 2004 | VLDB | 8.6786716e-05 |
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