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» Boolean ranking: querying a database by k-constrained opti...
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SIGMOD
2006
ACM
115views Database» more  SIGMOD 2006»
14 years 5 months ago
Boolean + ranking: querying a database by k-constrained optimization
Zhen Zhang, Seung-won Hwang, Kevin Chen-Chuan Chan...
SIGMOD
2005
ACM
164views Database» more  SIGMOD 2005»
14 years 5 months ago
RankSQL: Query Algebra and Optimization for Relational Top-k Queries
This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database syst...
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas...
ICDE
2010
IEEE
202views Database» more  ICDE 2010»
14 years 4 months ago
Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
14 years 5 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
VLDB
2007
ACM
102views Database» more  VLDB 2007»
13 years 11 months ago
Depth Estimation for Ranking Query Optimization
A relational ranking query uses a scoring function to limit the results of a conventional query to a small number of the most relevant answers. The increasing popularity of this q...
Karl Schnaitter, Joshua Spiegel, Neoklis Polyzotis