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MeanKS: Meaningful Keyword Search in Relational Databases with Complex Schema

Summary: MeanKS enables meaningful keyword search in complex relational schemas by assigning keyword roles to capture user intent. It ranks join trees by schema-based relevance using relations and foreign-keys, not just answer size or content. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4840
Venue
SIGMOD
Year
2014
Pagerank
4.9950232e-05
Overall Rank
6,611 | 54.01%
DOI
10.1145/2588555.2594533

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,141 LSH Ensemble: Internet-Scale Domain Search 2016 VLDB 9.4542625e-05
5,353 An In-Depth Benchmarking of Text-to-SQL Systems 2021 SIGMOD 5.5521332e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
54 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00066047203
276 Efficient IR-Style Keyword Search over Relational Databases 2003 VLDB 0.00029336949
1,510 Summarizing Relational Databases 2009 VLDB 0.00011606901
2,770 Keyword Search in Graphs: Finding r-cliques 2011 VLDB 8.1437191e-05
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