一个总体策略,用于生成专家指导的,简化的观点的本体论
Anita R Caron1, Aleix Puig-Barbe2, Ellen M Quardokus3
1European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. caron.r.anita@gmail.com.
Scientific data
|January 9, 2026
概括
我们开发了工具来验证人类策划的术语层次对本体结构的验证,确保生物医学研究的 FAIR 数据原则. 这些工具有助于解决冲突,并改善细胞地图的数据互操作性.
科学领域:
- 生物医学信息学 生物医学信息学
- 本体学 工程学 工程学
- 数据科学数据科学数据科学
背景情况:
- 使用本体学和工具进行生物医学实体注释,确保数据的可寻性,可访问性,互操作性和可重复使用性 (FAIR).
- 标准化术语和本体结构促进了词汇搜索和生物学上有意义的数据分组.
- 复杂的本体学构成了采用障碍;细胞图谱中的手动简化可能会引入不合适的关系类型.
研究的目的:
- 提出用于验证人类专家策划的术语层次结构与已建立的本体结构的工具.
- 支持人类策划与本体标准之间的讨论和冲突解决.
- 在人类参考地图库项目中增强数据的公平性.
主要方法:
- 为人类专家策划的术语层次结构开发验证工具.
- 将策划层次结构与本体结构进行比较,识别匹配和不匹配的术语和关系.
- 图表统计和图形视图可视化验证结果.
- 在HuBMAP人类参考地图 (HRA) 和人类发育细胞地图项目中应用和验证工具.
主要成果:
- 工具成功验证了人类专家策划的术语层次结构与本体结构的对比.
- 确定策划层次结构和本体学之间的术语和关系中的差异.
- 提供详细的统计数据和可视化图像,以促进冲突解决.
- 在现实世界的人类参考地图库项目中展示工具的实用性.
结论:
- 开发的工具有效地支持对策划层次的验证,促进数据标准化.
- 这些工具有助于解决手动策划和本体标准之间的冲突,提高数据的互操作性.
- 这种方法提高了生物医学数据的公平性,特别是在大型图谱计划中.
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