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ICSOC
2010
Springer

Panta Rhei: Optimized and Ranked Data Processing over Heterogeneous Sources

13 years 28 days ago
Panta Rhei: Optimized and Ranked Data Processing over Heterogeneous Sources
In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (aggregation, comparison and join) of such data. There is a concrete need for data processing solutions that combine distributed and heterogeneous data sources, such as Web services, relational databases, and even search engines, that can all be modeled as services. In this demonstration, we show how our Panta Rhei model addresses the challenge of processing data over heterogeneous sources to provide feasible and ranked combinations of these services.
Daniele Braga, Francesco Corcoglioniti, Michael Gr
Added 04 Mar 2011
Updated 04 Mar 2011
Type Journal
Year 2010
Where ICSOC
Authors Daniele Braga, Francesco Corcoglioniti, Michael Grossniklaus, Salvatore Vadacca
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