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Keyword Search over Relational Databases: A Metadata Approach

Summary: Metadata-based framework for keyword search in relational DBs without precomputed indices or full content access. The method casts keyword-to-SQL translation as a joint assignment problem solved by the Hungarian algorithm, capturing inter-dependencies among keyword mappings and yielding semantically faithful SQL queries, with thorough experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4414
Venue
SIGMOD
Year
2011
Pagerank
6.7753484e-05
Overall Rank
3,766 | 73.83%
DOI
-

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Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
47 Data Integration: A Theoretical Perspective 2002 PODS 0.00069691761
53 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00065993143
480 Translating Web Data 2002 VLDB 0.00022166928
547 Schema-Free XQuery 2004 VLDB 0.00020372992
873 Effective Keyword Search in Relational Databases 2006 SIGMOD 0.0001570125
994 Assisted Querying using Instant-Response Interfaces 2007 SIGMOD 0.00014745808
1,153 SQAK: Doing More with Keywords 2008 SIGMOD 0.00013633055
1,202 SPARK: Top-k Keyword Query in Relational Databases 2007 SIGMOD 0.0001333126
1,564 Keyword Search in Databases: The Power of RDBMS 2009 SIGMOD 0.00011340407
1,974 BANKS: Browsing and Keyword Searching in Relational Databases 2002 VLDB 9.8822798e-05
2,707 FleXPath: Flexible Structure and Full-Text Querying for XML 2004 SIGMOD 8.265158e-05
2,786 Approximate XML Joins 2002 SIGMOD 8.1223413e-05
8,632 Measuring the Structural Similarity of Semistructured Documents Using Entropy 2007 VLDB 4.4760331e-05
12,270 Keymantic: Semantic Keyword-based Searching in Data Integration Systems 2010 VLDB 4.1905499e-05
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