开发语义增强图形库作为生物医学信息系统的视觉标准.
Melissa D Clarkson1, Steven Roggenkamp1, Landon T Detwiler1
1Division of Biomedical Informatics, University of Kentucky, Multidisciplinary Science Building, Room 230C, Lexington, KY 40506, USA.
Journal of biomedical informatics
|February 17, 2025
概括
我们开发了一种创建语义增强图形库的方法,为智能信息系统提供视觉标准. 这种方法将视觉风格与语义意义联系起来,增强数据的可访问性和表示性.
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
- 生物医学信息学 生物医学信息学
背景情况:
- 视觉表示通常补充数据,而不是包含可计算的信息.
- 智能信息系统需要标准化,含义丰富的视觉资产.
研究的目的:
- 开发一种用于创建语义增强图形库的方法.
- 为智能信息系统建立视觉标准.
- 为了弥合视觉沟通和知识表现.
主要方法:
- 使用可组合方法开发的图形,并在SVG.中指定.
- 本体论网络语言 (OWL) 用于系统实体 (元素,单元,图形,库).
- 数据管理的图形数据库;通过语义风格类,对象/数据属性和图形间关系应用的语义.
主要成果:
- 一个图形图书馆网络应用程序,用于浏览,查看和下载图形.
- 展示了对图形数据库的 SPARQL 查询以及对图形和数据的 API 检索.
- 可组合图形方法有效地描绘了人体解剖学的变化.
结论:
- 建立了一种与生物医学本体学相兼容的视觉标准的方法.
- 实施了将视觉资产集成到信息系统中的系统.
- 桥梁视觉通信与知识表示,以增强数据集成.
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