基于知识图谱的急诊问答系统

为了提升现有急诊问答的速度，将医疗类专家知识、知识图谱和问答系统相结合，实现了通过自然语言人机交互 的急诊问答系统。本系统基于垂直类医疗网站，使用网络爬虫技术构建知识库，通过图数据库存储知识图谱；基于规则匹配方法和字符串匹配算法，构建领域词库对问句分类查询。本系统在急诊医疗领域知识图谱和问答系统构建中有应用价值。

An Emergency Question andAnswering System Based on Knowledge Graph

To improve the speed of the existing question and answering systems for emergency use, this paper uses knowledge graph technology to realize an emergency question and answering system adopting the interactive method of natural language. Based on vertical medical website, the system uses web crawler technology to build knowledge base, which is input into the Neo4j graphs for storage, presenting in the form of knowledge graphs. Based on rule matching method and string matching algorithm, the system clas- sifies and queries users’questions. The emergency question and answering system has application value in the construction of knowledge graph and question answering system in the field of emergency medicine.