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相关概念视频

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Data Collection by Observations01:08

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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评估 FAIR 数字对象和链接数据作为分布式对象系统.

Stian Soiland-Reyes1,2, Carole Goble1, Paul Groth2

  • 1Department of Computer Science, The University of Manchester, Manchester, UK.

PeerJ. Computer science
|June 10, 2024
PubMed
概括
此摘要是机器生成的。

公平数字对象 (FDO) 被评价为一种机器可操作的研究成果系统. 本研究评估了FDO与关键框架的对比,并将其与链接数据和网络架构进行比较,以更好地协调.

关键词:
数字对象是一个数字对象.分布的对象是分布式的对象.欧洲社会工作委员会EOSC这是公平的,公平的.在FDO的FDO.框架 框架 框架互操作性 互操作性 互操作性链接数据链接数据中间件是中间件的中间件.

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科学领域:

  • 计算机科学 计算机科学
  • 信息科学 信息科学 信息科学
  • 开放科学是一个开放的科学.

背景情况:

  • 公平数字对象 (FDO) 正成为欧洲开放科学云 (EOSC) 的关键概念.
  • FDO的目标是创建一个机器可操作的研究成果生态系统.
  • 语义网络技术的采用面临着挑战,影响了FDO的发展.

研究的目的:

  • 系统地评估FDO及其实现作为一个全球分布式对象系统.
  • 将FDO方法与已建立的链接数据实践和现有的Web架构进行比较.
  • 为协调链接数据和FDO社区提供建议.

主要方法:

  • 使用五个概念框架对FDO进行评估:互操作性,中间件,FAIR原则,EOSC要求和FDO指南.
  • 对FDO与链接数据和Web架构进行比较分析.
  • 对语义网络采用挑战的历史审查.

主要成果:

  • 该研究系统地评估了FDO的实施与已有的框架和架构相比.
  • 确定了与链接数据和Web架构相关的FDO面临的挑战和机会.
  • 提供了与FDO相关的语义网络采用的历史困难的见解.

结论:

  • 在EOSC生态系统中,FDO为机器可操作的研究成果提供了一个有希望的方法.
  • 为了成功实施,FDO和链接数据实践之间的调整至关重要.
  • 提供了建议,以促进链接数据和FDO社区之间的适应和整合.