Towards the Web of Concepts: Extracting Concepts from Large Datasets
Summary: Concept extraction reframed as market-basket mining over large corpora to build a Web of Concepts for search. Uses market-basket style measures of support and confidence to extract high-precision concept sequences; evaluated on AOL-scale query logs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,913 | Mining Quality Phrases from Massive Text Corpora | 2015 | SIGMOD | 4.6139203e-05 |
| 11,595 | GIANT: Scalable Creation of a Web-scale Ontology | 2020 | SIGMOD | 4.1905499e-05 |
| 11,783 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,221 | A Web of Concepts | 2009 | PODS | 0.00013213428 |
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