Construction of Knowledge Graph of Respiratory System Disease
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.
国家科技期刊平台
NSTL
万方数据
