在OntoTrek:应用程序本体学的3D可视化类层次结构
Damion Dooley1, Matthew H Nguyen1,2, William W L Hsiao1,2
1Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
PloS one
|June 2, 2023
概括
OntoTrek 在3D中可视化了本体学相互连接,使其更容易看到从其他资源中重复使用的术语. 这种3D实体学可视化有助于用户通过交织的社区实体学来理解复杂的知识捕获.
科学领域:
- 计算机科学 计算机科学
- 生物信息学是一种生物信息学.
- 知识表示 知识表示
背景情况:
- 应用程序本体学经常重复使用兼容的外部本体学中的术语.
- 识别这些重复使用的术语的起源和范围在标准文本或2D表示中具有挑战性.
- 现有的方法需要手动检查标识符或导入文件,这阻碍了理解.
研究的目的:
- 为了介绍OntoTrek,一个新的3D互动可视化工具用于本体学.
- 为各种利益相关者增强对本体学相互联系和术语起源的理解.
- 为了说明社区支持的本体如何促进知识捕获.
主要方法:
- 开发了OntoTrek,这是一个三维交互式本体学可视化器.
- 利用立体视觉和导航线索进行直观的探索.
- 设计用于视觉编码本体学术语来源和导入域名.
主要成果:
- OntoTrek提供了一种直观的方式来感知本体学内部和跨界的术语的相互联系.
- 3D可视化有助于识别进口术语及其来源.
- 利益相关者可以更容易地理解知识是如何通过交织的社区本体学捕获的.
结论:
- 3D交互式可视化为理解本体结构提供了相对于2D或文本方法的显著优势.
- OntoTrek使用户能够更好地理解复杂的本体关系及其对知识表示的影响.
- 该工具通过突出社区支持的本体资源的价值来支持有效的知识捕获.
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