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BANKS: Browsing and Keyword Searching in Relational Databases

Summary: BANKS enables keyword search in relational databases with integrated data and schema browsing. Users query by keywords, follow hyperlinks, and interact with controls to extract information without schema knowledge or SQL; ranking drives results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9124
Venue
VLDB
Year
2002
Pagerank
9.6426575e-05
Overall Rank
1,839 | 87.39%
DOI
10.1016/B978-155860869-6/50114-1

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{aditya_vldb02,
        title = {{BANKS: Browsing and Keyword Searching in Relational Databases}},
        author = {Aditya, B. and Bhalotia, Gaurav and Chakrabarti, Soumen and Hulgeri, Arvind and Nakhe, Charuta and Parag and Sudarshan, S.},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50114-1},
        url = {https://doi.org/10.1016/B978-155860869-6/50114-1},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
37 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00048017193
1,371 DTL’s DataSpot: Database Exploration Using Plain Language 1998 VLDB 0.00010995344
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