Toward Scalable Keyword Search over Relational Data
Summary: Addresses unpredictable runtimes in relational keyword search by returning quickly generated answers first, then exposing query forms that characterize unexplored answer space. A prototype and real-data experiments demonstrate scalable, coverage-preserving interactive exploration. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Akanksha Baid (University of Wisconsin)
- 2. Ian Rae (University of Wisconsin)
- 3. Jiexing Li (University of Wisconsin)
- 4. AnHai Doan (University of Wisconsin)
- 5. Jeffrey Naughton (University of Wisconsin)
BibTeX Citation
@article{baid_vldb10,
title = {{Toward Scalable Keyword Search over Relational Data}},
author = {Baid, Akanksha and Rae, Ian and Li, Jiexing and Doan, AnHai and Naughton, Jeffrey},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {140--151},
doi = {10.14778/1920841.1920864},
url = {https://doi.org/10.14778/1920841.1920864},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,385 | Keyword Search on Form Results | 2011 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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