跨异质研究基础设施的知识共享和发现.
Siamak Farshidi1, Xiaofeng Liao2, Na Li2
1Department of Information and Computer Science, Utrecht University, Utrecht, The Netherlands.
Open research Europe
|August 30, 2023
概括
为环境研究基础设施开发了一个新的知识管理系统,以解决碎片化数据的问题. 这个系统使用人工智能来整合和传递知识,帮助环境科学家了解地球系统.
科学领域:
- 环境科学 环境科学
- 信息科学 信息科学 信息科学
- 知识管理知识管理
背景情况:
- 研究基础设施对于科学数据至关重要,但往往是特定于领域的和断开连接.
- 来自异质来源的碎片化知识给研究人员带来了挑战.
- 知识的快速增长超过了人类有效捕获能力.
研究的目的:
- 介绍环境研究基础设施 (ENVRI) 的知识管理系统的开发.
- 应对来自各种环境科学来源的管理和整合知识的挑战.
- 为了促进环境科学家的知识发现,获取,整合和交付.
主要方法:
- 为ENVRI量身定制的知识管理系统的开发.
- 应用人工智能 (AI) 方法用于自动化知识获取.
- 整合来自异质和自主数据源的知识.
主要成果:
- 成功开发环境研究的功能性知识管理系统.
- 从零碎的来源发现,获取和整合知识的能力.
- 促进对研究人员和最终用户的一致的知识传递.
结论:
- 知识管理系统对于克服研究基础设施的碎片化至关重要.
- 由人工智能驱动的方法可以有效地自动化知识的获取和整合.
- 开发的系统为研究地球系统的环境科学家提供了宝贵的工具.
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