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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
4043
Venue
SIGMOD
Year
2008
Pagerank
4.3167828e-05
Overall Rank
9,589 | 33.36%
DOI
-

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Rank Citing Paper Year Venue Pagerank
3,456 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0756309e-05
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