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» Let It Flow: Building Mashups with Data Processing Pipelines
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ICSOC
2007
Springer
13 years 10 months ago
Let It Flow: Building Mashups with Data Processing Pipelines
Mashups are a new kind of interactive Web application, built out of the composition of two or more existing Web service APIs and data sources. Whereas “pure” mashups are built ...
Biörn Biörnstad, Cesare Pautasso
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
13 years 9 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas
PVLDB
2010
158views more  PVLDB 2010»
13 years 2 months ago
Building Ranked Mashups of Unstructured Sources with Uncertain Information
Mashups are situational applications that join multiple sources to better meet the information needs of Web users. Web sources can be huge databases behind query interfaces, which...
Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb
DATE
2010
IEEE
182views Hardware» more  DATE 2010»
13 years 9 months ago
DAGS: Distribution agnostic sequential Monte Carlo scheme for task execution time estimation
This paper addresses the problem of stochastic task execution time estimation agnostic to the process distributions. The proposed method is orthogonal to the application structure ...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel