Today, the analysis of huge amounts of data coming from sites distributed geographically can be problematic for both private and public organiza- tions involved in scientific and technological research as well as in indus- try. Thus, the aim of the study is to produce value added knowledge in order to orient and support strategic decision-making. In this chapter we define an innovative process of knowledge discovery starting from struc- tured and unstructured data for the realization of new e-services for knowl- edge. This process is designed by using the service oriented architectural pattern and implemented by using the Web Services and BPEL Technolo- gies.
Orchestrating the Knowledge Discovery Process / Castellano, Marcello; G., Mastronardi; N., Pastore; F., Arcieri; V., Summo; G., BELLONE DE GRECIS (STUDIES IN COMPUTATIONAL INTELLIGENCE). - In: E-Service Intelligence Methodologies, Technologies and Applications / LU JIE, RUAN DA, ZHANG GUANGQUAN ; [a cura di] Series Ed.: Kacprzyk, Janusz. - [s.l] : Springer Berlin Heidelberg, 2007. - ISBN 978-3-540-37015-4. - pp. 477-496 [10.1007/978-3-540-37017-8_22]
Orchestrating the Knowledge Discovery Process
CASTELLANO, Marcello;
2007-01-01
Abstract
Today, the analysis of huge amounts of data coming from sites distributed geographically can be problematic for both private and public organiza- tions involved in scientific and technological research as well as in indus- try. Thus, the aim of the study is to produce value added knowledge in order to orient and support strategic decision-making. In this chapter we define an innovative process of knowledge discovery starting from struc- tured and unstructured data for the realization of new e-services for knowl- edge. This process is designed by using the service oriented architectural pattern and implemented by using the Web Services and BPEL Technolo- gies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
