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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
4413
Venue
SIGMOD
Year
2011
Pagerank
6.7824746e-05
Overall Rank
3,758 | 73.86%
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
48 Data Integration: A Theoretical Perspective 2002 PODS 0.00069720859
54 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00066047203
480 Translating Web Data 2002 VLDB 0.00022191997
548 Schema-Free XQuery 2004 VLDB 0.00020391259
877 Effective Keyword Search in Relational Databases 2006 SIGMOD 0.00015714014
994 Assisted Querying using Instant-Response Interfaces 2007 SIGMOD 0.00014755845
1,153 SQAK: Doing More with Keywords 2008 SIGMOD 0.00013642866
1,201 SPARK: Top-k Keyword Query in Relational Databases 2007 SIGMOD 0.0001334371
1,564 Keyword Search in Databases: The Power of RDBMS 2009 SIGMOD 0.00011350495
1,972 BANKS: Browsing and Keyword Searching in Relational Databases 2002 VLDB 9.8916725e-05
2,704 FleXPath: Flexible Structure and Full-Text Querying for XML 2004 SIGMOD 8.2720556e-05
2,784 Approximate XML Joins 2002 SIGMOD 8.128931e-05
8,632 Measuring the Structural Similarity of Semistructured Documents Using Entropy 2007 VLDB 4.4803734e-05
12,262 Keymantic: Semantic Keyword-based Searching in Data Integration Systems 2010 VLDB 4.1945683e-05
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