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作 者:乔波 周子濠 袁铨 QIAO Bo;ZHOU Zi-hao;YUAN Quan(College of Information and Intelligent Science and Technology,Hunan Agricultural University,Changsha,Hunan 410128)
机构地区:[1]湖南农业大学信息与智能科学技术学院,湖南长沙410128
出 处:《安徽农业科学》2024年第21期222-226,232,共6页Journal of Anhui Agricultural Sciences
基 金:2022年度湖南省社会科学成果评审委员会课题(XSP22-YBZ024)。
摘 要:中医药在中国有5000多年的历史,为中华民族的繁衍与健康发挥着重要作用。然而,中医药数据通常是非结构化的,这严重影响了中医药知识的普及与应用,因此将中医药数据进行结构化具有重要意义。对于中医药数据非结构化的问题,设计并实现了中医知识图谱。首先,选取了药材、别名、功能主治等6种关系来构建中药材知识图谱的概念层;然后,利用6种关系从农业叙词表等专业书籍和中医药网站上获取数据,并对中医药知识进行数据处理,从而得到三元组形式的中医药知识;最终,将中医知识存入Neo4j数据库,并将其呈现出来。中医药知识图谱的构建将大大提高中医药知识的可理解性和可访问性,为后期临床决策和中医药研究提供数据支持。Traditional Chinese medicine has a history of over 5000 years in China and plays an important role in the reproduction and health of the Chinese nation.However,traditional Chinese medicine data is usually unstructured,which seriously affects the popularization and application of traditional Chinese medicine knowledge.Therefore,structuring traditional Chinese medicine data is of great significance.For the problem of unstructured data in traditional Chinese medicine,we designed and implemented a knowledge graph of traditional Chinese medicine.Firstly,six relationships including medicinal herbs,aliases,and functional indications were selected to construct the conceptual layer of the knowledge graph of traditional Chinese medicine.Then,using six types of relationships,data was obtained from professional books such as agricultural lexicons and traditional Chinese medicine websites,and traditional Chinese medicine knowledge was processed to obtain triplet form of traditional Chinese medicine knowledge.Finally,the knowledge of traditional Chinese medicine would be stored in the Neo4j database and presented.The construction of a knowledge graph of traditional Chinese medicine would greatly improve the comprehensibility and accessibility of traditional Chinese medicine knowledge,providing data support for later clinical decision-making and traditional Chinese medicine research.
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