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SODA: Generating SQL for Business Users

Summary: Keyword-driven SQL for data warehouses via graph-pattern matching on warehouse metadata. Bridges business analysts and complex schemas; generates executable SQL from natural-like queries, enabling exploration with high precision/recall. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10533
Venue
VLDB
Year
2012
Pagerank
0.00013531301
Overall Rank
1,168 | 91.89%
DOI
-

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Showing 12 of 12 citing papers.

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Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
53 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00065993143
302 BLINKS: Ranked Keyword Searches on Graphs 2007 SIGMOD 0.00028343691
873 Effective Keyword Search in Relational Databases 2006 SIGMOD 0.0001570125
1,010 SnipSuggest: Context-Aware Autocompletion for SQL 2011 VLDB 0.00014644808
1,153 SQAK: Doing More with Keywords 2008 SIGMOD 0.00013633055
1,506 Summarizing Relational Databases 2009 VLDB 0.0001159691
1,564 Keyword Search in Databases: The Power of RDBMS 2009 SIGMOD 0.00011340407
1,592 The SDSS SkyServer - Public Access to the Sloan Digital Sky Survey Data 2002 SIGMOD 0.00011215586
3,766 Keyword Search over Relational Databases: A Metadata Approach 2011 SIGMOD 6.7753484e-05
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