ColumbuScout: Towards Building Local Search Engines over Large Databases
Summary: ColumbuScout demonstrates a local search engine over large databases, replacing form-based SQL translations with search-engine-like queries and ranking. It introduces novel indexing and storage designs to boost efficiency and scalability, and is easy for developers to deploy over existing databases. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Cody Hansen (University of Utah)
- 2. Feifei Li (University of Utah)
BibTeX Citation
@inproceedings{hansen_sigmod12,
title = {{ColumbuScout: Towards Building Local Search Engines over Large Databases}},
author = {Hansen, Cody and Li, Feifei},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213914},
url = {https://dl.acm.org/doi/10.1145/2213836.2213914},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 217 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.00024465994 |
| 1,953 | DBXplorer: Enabling Keyword Search over Relational Databases | 2002 | SIGMOD | 9.3183947e-05 |
| 3,312 | Keyword Search on Structured and Semi-Structured Data | 2009 | SIGMOD | 7.4385614e-05 |
| 5,795 | Efficient Approximate Search on String Collections (Tutorial) | 2009 | VLDB | 5.9926463e-05 |
| 8,445 | Seaform: Search-As-You-Type in Forms | 2010 | VLDB | 5.3350162e-05 |
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