Database Paper Browser

Back to papers

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
10473
Venue
VLDB
Year
2012
Pagerank
4.3799925e-05
Overall Rank
9,183 | 36.12%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,982 FastQRE: Fast Query Reverse Engineering 2018 SIGMOD 7.7801984e-05
7,954 Diverse and Proportional Size-l Object Summaries for Keyword Search 2015 SIGMOD 4.613363e-05
11,478 Proportionality in Spatial Keyword Search 2021 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers