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» Joining Interval Data in Relational Databases
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ICDE
1995
IEEE
101views Database» more  ICDE 1995»
14 years 8 months ago
Two-Level Caching of Composite Object Views of Relational Databases
We describe a two-level client-side cache for composite objects mapped as views of a relational database. A semantic model, the Structural Model, is used to specify joins on the r...
Catherine Hamon, Arthur M. Keller
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
14 years 23 days ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
SIGMOD
2006
ACM
117views Database» more  SIGMOD 2006»
14 years 7 months ago
Database support for matching: limitations and opportunities
We define a match join of R and S with predicate to be a subset of the -join of R and S such that each tuple of R and S contributes to at most one result tuple. Match joins and t...
Ameet Kini, Srinath Shankar, Jeffrey F. Naughton, ...
BTW
2007
Springer
133views Database» more  BTW 2007»
13 years 11 months ago
Pathfinder: XQuery Compila-tion Techniques for Relational Database Targets
: Relational database systems are highly efficient hosts to table-shaped data. It is all the more interesting to see how a careful inspection of both, the XML tree structure as wel...
Jens Teubner