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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)

Paper ID
4566
Venue
SIGMOD
Year
2012
Pagerank
4.1905499e-05
Overall Rank
12,124 | 15.74%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
278 Efficient IR-Style Keyword Search over Relational Databases 2003 VLDB 0.00029322862
1,680 DBXplorer: Enabling Keyword Search over Relational Databases 2002 SIGMOD 0.00010923824
3,456 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0756309e-05
5,892 Efficient Approximate Search on String Collections (Tutorial) 2009 VLDB 5.2829767e-05
7,962 Seaform: Search-As-You-Type in Forms 2010 VLDB 4.6089395e-05
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