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A Graph Method for Keyword-based Selection of the top-K Databases

Summary: G-KS uses a keyword graph to summarize each database and computes DB-query similarity to select top-K candidates for a KS query over multiple DBMSs. Experiments show G-KS outperforms prior methods in precision, recall, efficiency, space, and semantic flexibility. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4104
Venue
SIGMOD
Year
2008
Pagerank
5.2204332e-05
Overall Rank
9,791 | 32.83%
DOI
10.1145/1376616.1376707

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{vu_sigmod08,
        title = {{A Graph Method for Keyword-based Selection of the top-K Databases}},
        author = {Vu, Quang Hieu and Ooi, Beng Chin and Papadias, Dimitris and Tung, Anthony K. H.},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376707},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376707},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
3,239 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.6078324e-05
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Outgoing Citations (Sorted by Pagerank)

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