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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)

Paper ID
10296
Venue
VLDB
Year
2010
Pagerank
6.1205787e-05
Overall Rank
5,689 | 60.97%
DOI
10.14778/1920841.1920914

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{parameswaran_vldb10,
        title = {{Towards the Web of Concepts: Extracting Concepts from Large Datasets}},
        author = {Parameswaran, Aditya and Garcia-Molina, Hector and Rajaraman, Anand},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {566--577},
        doi = {10.14778/1920841.1920914},
        url = {https://doi.org/10.14778/1920841.1920914},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,067 Mining Quality Phrases from Massive Text Corpora 2015 SIGMOD 5.4941436e-05
11,786 GIANT: Scalable Creation of a Web-scale Ontology 2020 SIGMOD 5.093636e-05
11,980 Building Structured Databases of Factual Knowledge from Massive Text Corpora 2017 SIGMOD 5.093636e-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
1,873 A Web of Concepts 2009 PODS 9.5751398e-05
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