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Web Scale Taxonomy Cleansing

Summary: Matches web-scale, context-poor taxonomies using external positive and negative evidence from the Web and other taxonomies, rather than attribute values. Casts entity resolution as optimal multiway graph cuts and uses Monte Carlo greedy optimization at scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10384
Venue
VLDB
Year
2011
Pagerank
5.093636e-05
Overall Rank
12,389 | 15.01%
DOI
10.14778/3402755.3402766

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{lee_vldb11,
        title = {{Web Scale Taxonomy Cleansing}},
        author = {Lee, Taesung and Wang, Zhongyuan and Wang, Haixun and Hwang, Seung-won},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1295--1306},
        doi = {10.14778/3402755.3402766},
        url = {https://doi.org/10.14778/3402755.3402766},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
908 Probase: A Probabilistic Taxonomy for Text Understanding 2012 SIGMOD 0.00013300624
7,896 Optimizing Index for Taxonomy Keyword Search 2012 SIGMOD 5.5201308e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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