【摘要】 护士培养机制信息化和统一化是减少护士培养成本、增强护士专业素养、减缓护理教师不足的重要解决方案。针对当前护理知识问答引擎无法回答护士提出复杂问题等局限，本文研发了一种基于用户自然语言提问的护理知识图谱问答系统。首先通过本体设计、知识获取、知识融合、知识存储等技术构建出护理知识图谱，其次针对护士提出的自然语言问题进行语义理解和解析，进而利用知识图谱进行查询、推理得出答案。该系统不仅能将查询到的精确答案返回给用户，还能将以答案为核心的知识图谱进行同步可视化，从而帮助护士准确理解场景、捕捉上下文语境等信息。更多还原

【Abstract】 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.更多还原