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Size-l Object Summaries for Relational Keyword Search

Summary: Defines size-l Object Summaries (size-l OSs) as a partial, stand-alone synopsis of a Data Subject, built from l important tuples in relational keyword search. Proposes three efficient generation algorithms (with an exponential-time optimal baseline) and validates effectiveness on DBLP and TPC-H. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10474
Venue
VLDB
Year
2012
Pagerank
4.375789e-05
Overall Rank
9,187 | 36.16%
DOI
-

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Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,990 FastQRE: Fast Query Reverse Engineering 2018 SIGMOD 7.7727915e-05
7,957 Diverse and Proportional Size-l Object Summaries for Keyword Search 2015 SIGMOD 4.6089395e-05
11,482 Proportionality in Spatial Keyword Search 2021 SIGMOD 4.1905499e-05
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