Abstract
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.
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Ceri, S., Brambilla, M. (eds.): Search Computing. LNCS, vol. 5950. Springer, Heidelberg (2010)
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© 2010 Springer-Verlag Berlin Heidelberg
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Braga, D., Corcoglioniti, F., Grossniklaus, M., Vadacca, S. (2010). Panta Rhei: Optimized and Ranked Data Processing over Heterogeneous Sources. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds) Service-Oriented Computing. ICSOC 2010. Lecture Notes in Computer Science, vol 6470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17358-5_69
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DOI: https://doi.org/10.1007/978-3-642-17358-5_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17357-8
Online ISBN: 978-3-642-17358-5
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