用本体构建体育科学运动表现数据的知识图谱，实现标准化共享。
Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science
- 基于基础形式本体构建运动测试的语义关系
- 统一描述测试方案、过程与测量指标的关联
- 适合运动科学数据共享与机器可读研究者
评估不同人群身体与认知能力的关键在于对人类表现相关因素的测试。作为体育科学研究的核心，运动表现测试有助于分析不同人口群体的生理健康状况并实现比较。卡尔斯鲁厄理工学院开发的运动研究（MO|RE）数据仓库是体育科学领域，尤其是运动表现研究的数据发布与归档基础设施。本文提出从MO|RE数据构建知识图谱的愿景。基于基础形式本体（BFO），我们的方法聚焦于正式表示计划规范、具体过程与相关测量之间的相互关系。目标是改变运动表现数据的建模与共享方式，使其标准化且机器可理解。该工作在莱布尼茨科学园区「科研数字化转型」（DiTraRe）框架下开展。
原文摘要 · Abstract (English)
An essential component for evaluating and comparing physical and cognitive capabilities between populations is the testing of various factors related to human performance. As a core part of sports science research, testing motor performance enables the analysis of the physical health of different demographic groups and makes them comparable. The Motor Research (MO|RE) data repository, developed at the Karlsruhe Institute of Technology, is an infrastructure for publishing and archiving research data in sports science, particularly in the field of motor performance research. In this paper, we present our vision for creating a knowledge graph from MO|RE data. With an ontology rooted in the Basic Formal Ontology, our approach centers on formally representing the interrelation of plan specifications, specific processes, and related measurements. Our goal is to transform how motor performance data are modeled and shared across studies, making it standardized and machine-understandable. The idea presented here is developed within the Leibniz Science Campus ``Digital Transformation of Research'' (DiTraRe).
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