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Infraestructura cibernética para la ciencia electrónica
1Engineering and Physical Sciences Research Council, Polaris House, North Star Avenue, Swindon SN2 1ET, UK.
Science (New York, N.Y.)
|May 10, 2005
Resumen
Este estudio describe los requisitos para una infraestructura electrónica para avanzar en la investigación científica. Destaca la necesidad de un enfoque orientado a los servicios, enfatizando los servicios compuestos y la semántica para mejorar las capacidades de investigación.
Área de la Ciencia:
- Ciencias de la computación Ciencias de la computación
- La informática científica es la computación científica.
- Ciencias de la información Ciencias de la información.
Sus antecedentes:
- La investigación científica actual exige recursos computacionales avanzados.
- La infraestructura electrónica existente requiere una mejora para satisfacer las necesidades de investigación en evolución.
Objetivo del estudio:
- Definir los requisitos para una infraestructura electrónica de próxima generación.
- Abogar por una arquitectura orientada a los servicios en la computación científica.
- Para ilustrar los beneficios utilizando ejemplos reales del Programa e-Science.
Principales métodos:
- Análisis de los requisitos para las capacidades avanzadas de investigación científica.
- Estudios de caso del programa e-Science del Reino Unido.
- Conceptualización de una infraestructura orientada a los servicios.
Principales resultados:
- Identificaron los requisitos clave para una infraestructura electrónica que apoye una investigación más rápida, mejor y novedosa.
- Demostró la utilidad de los servicios de composición y las tecnologías semánticas.
- Presentó una visión para una infraestructura electrónica "plug-and-play" centrada en el Reino Unido.
Conclusiones:
- Una infraestructura electrónica orientada a servicios es crucial para los futuros descubrimientos científicos.
- Los servicios computables y la semántica son elementos fundamentales para la investigación avanzada.
- La infraestructura propuesta permite una exploración científica más eficiente e innovadora.
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