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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
4565
Venue
SIGMOD
Year
2012
Pagerank
4.1945683e-05
Overall Rank
12,116 | 15.72%
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
276 Efficient IR-Style Keyword Search over Relational Databases 2003 VLDB 0.00029336949
1,679 DBXplorer: Enabling Keyword Search over Relational Databases 2002 SIGMOD 0.00010932603
3,450 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0824082e-05
5,887 Efficient Approximate Search on String Collections (Tutorial) 2009 VLDB 5.2879769e-05
7,959 Seaform: Search-As-You-Type in Forms 2010 VLDB 4.613363e-05
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