Research on Intelligent Question Answering System Based on Nursing Knowledge Graph
The informatization and unification of nurse training mechanism is an important solution to reduce the cost of nurse training,enhance the professional quality of nurses and alleviate the shortage of nursing teachers.In view of the limitations that the current nursing knowledge question answering engine cannot answer nurses'complex questions,this paper develops a nursing knowledge graph question answering system based on user natural language questions.Firstly,the nursing knowledge graph is constructed by ontology design,knowledge acquisition,knowledge fusion,knowledge storage and other technologies.Secondly,the semantic understanding and analysis of natural language problems proposed by nurses are carried out,and then the knowledge graph is used for query and reasoning to obtain the answer.The system can not only return the exact answer to the user,but also synchronously visualize the knowledge graph with the answer as the core,so as to help the nurse accurately understand the scene,capture the context and other information.
Intelligent question answering systemNursing knowledge graphInteractive visualizationNurse training
国家科技期刊平台
NSTL
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