Extracting large-scale knowledge bases from the web
Summary: Enumerates web subgraphs as signatures of phenomena to build large-scale knowledge bases. Proposes enumeration algorithms and a data-driven web-graph evolution model; introduces Campfire, a KB of 100k+ web communities with empirical efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ravi Kumar (IBM)
- 2. Prabhakar Raghavan (IBM)
- 3. Sridhar Rajagopalan (IBM)
- 4. Andrew Tomkins (IBM)
BibTeX Citation
@article{kumar_vldb99,
title = {{Extracting large-scale knowledge bases from the web}},
author = {Kumar, Ravi and Raghavan, Prabhakar and Rajagopalan, Sridhar and Tomkins, Andrew},
journal = {PVLDB},
series = {{VLDB} '99},
year = {1999}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 131 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00030242586 |
| 563 | Graph Summarization with Bounded Error | 2008 | SIGMOD | 0.00016327158 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.0005121339 |
| 2,301 | Query Flocks: A Generalization of Association-Rule Mining | 1998 | SIGMOD | 8.6716957e-05 |
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