计算机与数字工程2024，Vol.52Issue(1)：247-250,265,5.DOI:10.3969/j.issn.1672-9722.2024.01.041
呼吸系统疾病知识图谱的构建
Construction of Knowledge Graph of Respiratory System Disease
摘要
Abstract
Respiratory diseases are one of the top ten mortality diseases in China.Therefore,in order to solve the problem that its data distribution is heterogeneous and difficult to apply in a deep level,the knowledge graph of respiratory diseases is construct-ed by adopting a top-down approach.First,a respiratory disease dictionary is constructed by referring to medical literature,includ-ing crawling the respiratory disease data from vertical medical websites based on this disease dictionary.Secondly,knowledge fusion is used to complete the linking of heterogeneous data from multiple sources,and the similarity of disease entities is calculated by de-fining the similarity of different disease attributes to improve the accuracy.In conclusion,the respiratory disease data are stored into Neo4j and visualized.关键词
知识图谱/呼吸疾病/知识融合/图数据库Key words
knowledge graph/respiratory disease/knowledge fusion/graph database分类
信息技术与安全科学引用本文复制引用
陈雪松,张明磊,王浩畅..呼吸系统疾病知识图谱的构建[J].计算机与数字工程,2024,52(1):247-250,265,5.基金项目
国家自然科学基金项目(编号:61402099,61702093)资助. （编号:61402099,61702093）
