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NUITS: A Novel User Interface for Efficient Keyword Search over Databases

Summary: NUITS integrates information retrieval techniques with relational databases to support keyword queries on top of SQL data. A novel user interface and query processing design enable both simple and condition-based keyword queries with efficient execution and user-friendly result display. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9393
Venue
VLDB
Year
2006
Pagerank
5.0687368e-05
Overall Rank
6,421 | 55.34%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,453 Keyword Proximity Search in Complex Data Graphs 2008 SIGMOD 0.00011917976
3,450 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0824082e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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
336 Bidirectional Expansion For Keyword Search on Graph Databases 2005 VLDB 0.00027020919
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