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» Matching and integration across heterogeneous data sources
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EUROPAR
2010
Springer
15 years 7 months ago
Maestro: Data Orchestration and Tuning for OpenCL Devices
Abstract. As heterogeneous computing platforms become more prevalent, the programmer must account for complex memory hierarchies in addition to the difficulties of parallel program...
Kyle Spafford, Jeremy S. Meredith, Jeffrey S. Vett...
AAAI
2010
15 years 7 months ago
Kernelized Sorting for Natural Language Processing
Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...
COOPIS
2004
IEEE
15 years 10 months ago
Supporting Similarity Operations Based on Approximate String Matching on the Web
Querying and integrating sources of structured data from the Web in most cases requires similarity-based concepts to deal with data level conflicts. This is due to the often errone...
Eike Schallehn, Ingolf Geist, Kai-Uwe Sattler
WWW
2004
ACM
16 years 7 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
VLDB
2004
ACM
106views Database» more  VLDB 2004»
15 years 11 months ago
Structures, Semantics and Statistics
At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue th...
Alon Y. Halevy