通过时间知识图表分析COVID-19疾病理解的演变
Alessandro Negro1, Fabio Montagna1, Michael N Teng2
1Graph Aware Ltd., London, United Kingdom.
Frontiers in research metrics and analytics
|August 21, 2023
概括
这项研究引入了一种新的知识图表,以快速分析疾病爆发期间不断发展的科学知识. 它可以更快地获取用于开发治疗和疫苗的信息,改善流行病准备.
科学领域:
- 生命科学 生命科学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- COVID-19大流行暴露了利用现有生物知识和分析新疾病信息以快速响应的关键差距.
- 不有效的知识管理阻碍了针对新型病原体的治疗方法,疫苗和化合物的快速开发.
- 彻底改变全球准备需要克服这些挑战在知识同化和分析.
研究的目的:
- 引入一个新的知识图表应用程序,作为生命科学知识库和分析平台.
- 展示从学术文章中提取时间有限的关键概念,以获得关于COVID-19的统一时间真理来源.
- 通过时间敏感的洞察力,揭示不断变化的疾病动态和研究人员的理解.
主要方法:
- 开发了一个知识图表应用程序,整合了生命科学数据.
- 利用现有的本体学,从不断发展的学术文章中提取时间有限的关键概念.
- 将时间分析应用于知识图的子集 (时间关键字知识图).
主要成果:
- 为COVID-19知识创建了一个单一的,时间的,连接的真相来源.
- 能够快速访问当前的知识,用于人类和机器分析.
- 提取了对不断变化的疾病动态和研究趋势的时间敏感见解.
结论:
- 新的知识图表应用程序显著提高了在疫情期间快速分析和利用科学知识的能力.
- 这种方法促进了对抗措施的更快发展,并改善了全球流行病的准备.
- 知识图的时间分析为疾病演变和研究景观提供了宝贵的见解.
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