构建解剖连接知识框架，助力生理系统研究
Ontology Creation and Management Tools: the Case of Anatomical Connectivity
- 用知识表示模型捕捉解剖实体间交互关系
- 提供工具将抽象概念转为详细生理模型
- 适合神经科学与医学信息学研究人员
我们正在开发支持研究人员绘制外周神经系统及其他生理系统数据的基础设施，重点关注其与研究器官的相关性。神经系统是遍布全身的神经和神经节复杂网络，在协调和传递信号中起关键作用。为此，我们创建了ApiNATOMY，一个用于多尺度生理电路图拓扑与语义表示的框架。ApiNATOMY集成知识表示（KR）模型与知识管理（KM）工具套件。KR模型使生理学专家能轻松捕获解剖实体间的相互作用，而KM工具则帮助建模者将高层抽象转化为详细的生理过程模型，并可与外部本体及知识图谱集成。
原文摘要 · Abstract (English)
We are developing infrastructure to support researchers in mapping data related to the peripheral nervous system and other physiological systems, with an emphasis on their relevance to the organs under investigation. The nervous system, a complex network of nerves and ganglia, plays a critical role in coordinating and transmitting signals throughout the body. To aid in this, we have created ApiNATOMY, a framework for the topological and semantic representation of multiscale physiological circuit maps. ApiNATOMY integrates a Knowledge Representation (KR) model and a suite of Knowledge Management (KM) tools. The KR model enables physiology experts to easily capture interactions between anatomical entities, while the KM tools help modelers convert high-level abstractions into detailed models of physiological processes, which can be integrated with external ontologies and knowledge graphs.
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