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Combining Keyword Search and Forms for Ad Hoc Querying of Databases

Summary: Offline generation and indexing of forms from the target database enable form-based ad hoc querying. Keyword search over the generated forms surfaces relevant templates; users assemble a structured query from a chosen form and submit it for execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4193
Venue
SIGMOD
Year
2009
Pagerank
6.1514e-05
Overall Rank
5,609 | 61.52%
DOI
10.1145/1559845.1559883

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chu_sigmod09,
        title = {{Combining Keyword Search and Forms for Ad Hoc Querying of Databases}},
        author = {Chu, Eric and Baid, Akanksha and Chai, Xiaoyong and Doan, AnHai and Naughton, Jeffrey},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559883},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559883},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,478 Keyword++: A Framework to Improve Keyword Search Over Entity Databases 2010 VLDB 8.5223053e-05
6,627 Schema-free SQL 2014 SIGMOD 5.8198662e-05
8,936 Toward Scalable Keyword Search over Relational Data 2010 VLDB 5.3483178e-05
12,385 Keyword Search on Form Results 2011 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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