路径、相似之处和陷阱:学术网络、ESRC和关联开放数据*

Antonina Lewis, Peter Neish
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引用次数: 2

摘要

本文强调了奖学金研究中心(ESRC)与关联开放数据(LOD)社区共享的关键原则,主要是以关系为中心的信息资源语境化,以及致力于生产和发布可持续的、基于标准的数据输出,适用于基于机器的交换。本文阐述了这些原则是如何使ESRC在不以LOD为特定目标的情况下,保持一条接近关联数据之路的道路。我们还注意到,通过扩展,这使得ESRC准备好将其许多资源转换为LOD格式,在交换中可以使用互补技术和本体映射。
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Pathways, parallels and pitfalls: the Scholarly Web, the ESRC and Linked Open Data*
Abstract This paper highlights key principles that the eScholarship Research Centre (ESRC) shares with the Linked Open Data (LOD) community, primarily relationship-centric contextualisation of information resources, and a commitment to producing and publishing sustainable, standards-based data outputs suitable for machine-based interchange. This paper illustrates how these principles have enabled the ESRC, without pursuing LOD as a specific end, to hold a path close to the Linked Data road. We also note that, by extension, this has positioned the ESRC ready to translate many of its resources into LOD formats in exchanges where complementary technologies and ontology mappings are available.
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