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Keyword Query Cleaning

Summary: Introduces keyword query cleaning in databases, combining semantic linkage, spelling correction, and segmentation into data terms, guided by quality metric. DP-based optimal cleaning; incremental, memory-bounded streaming; and a guaranteed top-k ranking. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9915
Venue
VLDB
Year
2008
Pagerank
5.7810141e-05
Overall Rank
6,764 | 53.60%
DOI
10.14778/1454159.1454167

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pu_vldb08,
        title = {{Keyword Query Cleaning}},
        author = {Pu, Ken Q. and Yu, Xiaohui},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {2},
        pages = {909--920},
        doi = {10.14778/1454159.1454167},
        url = {https://doi.org/10.14778/1454159.1454167},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,239 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.6078324e-05
4,494 Structured Annotations of Web Queries 2010 SIGMOD 6.6624281e-05
12,287 Probabilistic Query Rewriting for Efficient and Effective Keyword Search on Graph Data 2013 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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