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)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 127 | Querying Heterogeneous Information Sources Using Source Descriptions | 1996 | VLDB | 0.00044607231 |
| 207 | Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach | 2001 | SIGMOD | 0.00034571837 |
| 233 | Crawling the Hidden Web | 2001 | VLDB | 0.00031996412 |
| 288 | Answering Queries Using Templates With Binding Patterns (Extended Abstract) | 1995 | PODS | 0.00028885849 |
| 671 | An Interactive Clustering-based Approach to Integrating Source Query Interfaces on the Deep Web | 2004 | SIGMOD | 0.00018370384 |
| 1,486 | Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection | 2002 | VLDB | 0.00011691409 |
| 1,538 | Google's Deep-Web Crawl | 2008 | VLDB | 0.00011455291 |
| 2,428 | Instance-based Schema Matching for Web Databases by Domain-specific Query Probing | 2004 | VLDB | 8.8293516e-05 |
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