面向医学知识图谱的可视化方法设计与实现

随着人工智能技术的迅速发展和医学数据资源的大规模增长,面向医学领域的知识图谱受到越来越多的关注,知识图谱可视化旨在借助点和边等图形特征形象化地展示知识图谱中的实体、关系及相互之间的结构,便于非专业用户阅读和使用知识图谱。该文提出并实现了一种面向医学知识图谱的多视图、交互式可视化方法及系统,该系统包括医学实体分类的层级结构可视化,实体和关系之间的语义结构可视化以及从非结构化数据到结构化数据的交互式可视化。通过多视图、多维度、交互式的医学知识图谱可视化方法,让用户更加有效地对复杂知识图谱的结构进行分析和理解,进而发现更多蕴含的有价值信息。

Design and Implementation of Visualization for Medical Knowledge Graph

With the rapid development of artificial intelligence technology and the large-scale growth of medical data resources, the knowledge graph in the medical domain has attracted more and more attention. This paper proposes and implements a multi-view, interactive visualization method and system for medical knowledge graph. The system includes the hierarchical structure visualization of medical entity classification, the semantic graph structure visualization between entities and relations, and the interactive visualization of unstructured data to structured data. The proposed method allows users to analyze and understand the structure of complex knowledge graphs more effectively, and then discover more valuable information contained in them.