Download The VO-Neural/DAME infrastructure: an integrated data mining

Workshop finale dei Progetti Grid del PON "Ricerca" 2000‐2006, 10‐12/02/2009 The VO-Neural/DAME infrastructure: an integrated data mining
system support for the e-science community
BRESCIA1,2, M., CAVUOTI1,2, S., CORAZZA3, A., D'ABRUSCO1,2, R., D'ANGELO1,2, G., DENISKINA1, N.,
DJORGOVSKI4, S. G., DONALEK4, C., FIORE3, M., GAROFALO1, M., LAURINO1, O., LONGO1,2, G.,
MAHABAL4, A., MANNA3, F., NOCELLA1, A., SKORDOVSKI1, B.
1 - Dipartimento di Astrofisica, Università Federico II di Napoli
2 – INAF (Istituto Nazionale di AstroFisica)
3 - Dipartimento di Informatica, Università Federico II di Napoli
4 - Californian Institute of Technology
ABSTRACT
Data coming from the Universe observations is gathered by a very large number of techniques and stored in
very diversified and often-incompatible data repositories. Moreover in the e-science environment, we need to
integrate services across distributed, heterogeneous, dynamic “virtual organizations” formed from the
different resources within a single enterprise and/or from external resource sharing and service provider
relationships. The VO-Neural/DAME (Virtual Observatory – Neural / DAta Mining Exploration) project
aims at creating a single, sustainable, distributed e-infrastructure to guarantee integrated access to
astrophysics data collected by very different instruments, experiments and scientific communities in order to
be able to correlate them and improve their scientific usability. The project consists of a data mining
framework, supported by PON-SCoPE project, whose main goal is to provide the astronomical community
with powerful software instruments capable to work on massive data sets in a distributed computing
environment, matching the international VO corporation standards and requirements. The integration process
can be technically challenging because of the need to achieve a specific quality of service when running on
top of different native platforms. In these terms, the result of the VO-Neural/DAME project effort will be a
service-oriented architecture, by using appropriate standards and incorporating Grid paradigms and restful
Web services frameworks where needed, that will have as main target the integration of interdisciplinary
distributed systems within and across organizational domains.