论通过语义配准整合科技资源

S. Bowers, K. Lin, Bertram Ludäscher
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引用次数: 45

摘要

在许多以数据为中心的科学应用程序中,通常使用联合注册中心(通常也称为编目、目录或存储库)注册数据集和计算服务。例如,SEEK项目中正在开发的科学数据处理系统必须考虑各种数据集注册,包括:MCAT,用于访问srb注册的数据集Metacat,用于访问knb注册的数据集DiGIR,用于访问uddi注册的数据和Xanthoria,一个基于xml的数据注册。SEEK和类似的努力(如GEON)面临的一个挑战是,基于新兴的Web和网格标准,提供对注册中心和注册资源的统一访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On integrating scientific resources through semantic registration
In many data-centric scientific applications it is common to register datasets and computational services with a federation registry (also commonly called a catalog, directory, or repository). For example, the scientific data-handling system under development in the SEEK project must consider various dataset registries, including: MCAT, for access to SRB-registered datasets Metacat, for KNB-registered datasets DiGIR, for UDDI-registered data and Xanthoria, an XML-based data registry. A challenge for SEEK, and similar efforts such as GEON is to provide uniform access to registries and registered resources, based on emerging Web and grid standards.
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