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.

• Type: Journal
• Year: 2010
• Where: ICSOC
• Authors: Daniele Braga, Francesco Corcoglioniti, Michael Grossniklaus, Salvatore Vadacca
• Keywords: Applied Computing, Heterogeneous Sources, ICSOC 2010, Panta Rhei Model, Relational Databases