Effective Keyword Search in Relational Databases
Summary: Proposes an IR-style keyword search for relational DBs, ranking answers as joined tuple trees. First real-world evaluation with queries from a major search company; shows improvement over prior methods and enables use in applications or RDBMS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fang Liu (University of Illinois Chicago)
- 2. Clement Yu (University of Illinois Chicago)
- 3. Weiyi Meng (Binghamton University)
- 4. Abdur Chowdhury (America Online, Inc.)
BibTeX Citation
@inproceedings{liu_sigmod06,
title = {{Effective Keyword Search in Relational Databases}},
author = {Liu, Fang and Yu, Clement and Meng, Weiyi and Chowdhury, Abdur},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142536},
url = {https://dl.acm.org/doi/10.1145/1142473.1142536},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 30 of 30 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 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 |
| 77 | XRANK: Ranked Keyword Search over XML Documents | 2003 | SIGMOD | 0.00037048607 |
| 212 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.000247733 |
| 301 | Proximity Search in Databases | 1998 | VLDB | 0.00022032878 |
| 399 | XSEarch: A Semantic Search Engine for XML | 2003 | VLDB | 0.00019177959 |
| 496 | Schema-Free XQuery | 2004 | VLDB | 0.0001750537 |
| 2,006 | On the Integration of Structure Indexes and Inverted Lists | 2004 | SIGMOD | 9.3190255e-05 |
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