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Towards Keyword-Driven Analytical Processing

Summary: KDAP fuses keyword-driven search with OLAP-style aggregation, letting analysts explore data without wrangling. Disambiguates keywords, handles joins, supports categorical and numerical data, ranks results with facets to reveal surprises. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3887
Venue
SIGMOD
Year
2007
Pagerank
8.1074407e-05
Overall Rank
2,801 | 80.54%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
1,153 SQAK: Doing More with Keywords 2008 SIGMOD 0.00013633055
2,854 MRI: Meaningful Interpretations of Collaborative Ratings 2011 VLDB 8.0139911e-05
3,261 Multidimensional Content eXploration 2008 VLDB 7.3088095e-05
3,456 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0756309e-05
3,542 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 6.9896948e-05
4,199 Meet Charles, big data query advisor 2013 CIDR 6.3618577e-05
6,733 Keyword Query Cleaning 2008 VLDB 4.9435837e-05
6,958 Supporting OLAP Operations over Imperfectly Integrated Taxonomies 2008 SIGMOD 4.8810116e-05
12,396 Dynamic Active Probing of Helpdesk Databases 2008 VLDB 4.1905499e-05
12,405 WebContent: Efficient P2P Warehousing of Web Data 2008 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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