Memorias de investigación
Research Publications in journals:
Data-Intensive Architecture for Scientific Knowledge Discovery
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
This paper presents a data-intensive architecture that demonstrates the ability to support applications from a wide range of application domains, and support the different types of users involved in defining, designing and executing data-intensive processing tasks. The prototype architecture is introduced, and the pivotal role of DISPEL as a canonical language is explained. The architecture promotes the exploration and exploitation of distributed and heterogeneous data and spans the complete knowledge discovery process, from data preparation, to analysis, to evaluation and reiteration. The architecture evaluation included large-scale applications from astronomy, cosmology, hydrology, functional genetics, imaging processing and seismology.
International
Si
JCR
Si
Title
Distributed And Parallel Databases
ISBN
0926-8782
Impact factor JCR
0,286
Impact info
Volume
30
Journal number
From page
307
To page
324
Month
AGOSTO
Ranking
No disponible aún: 91/99 (Q4) en Computer Science/Theory&Methods en 2011, y 121/133 (Q4) en Computer Science / Information Systems en 2011
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial