Keyword Search in Databases: The Power of RDBMS
Summary: SQL-based keyword search over RDBMSs discovers interconnected tuple structures (connected trees, radius-bounded reachability, multi-center subgraphs) with size control. Tuple reduction prunes irrelevant tuples via SQL, then evaluates the reduced data with SQL; no new indexing, validated on two commercial RDBMSs and two real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lu Qin (Chinese University of Hong Kong)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Lijun Chang (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{qin_sigmod09,
title = {{Keyword Search in Databases: The Power of RDBMS}},
author = {Qin, Lu and Yu, Jeffrey Xu and Chang, Lijun},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559917},
url = {https://dl.acm.org/doi/10.1145/1559845.1559917},
year = {2009}
}
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