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数字人文视域下中医古籍方药库的构建与应用研究——以产后腹痛为例 被引量:1

Research on the Construction and Application of Database of Ancient Books of Traditional Chinese Medicine(TCM)Database from the Perspective of Digital Humanities:A Case Study on Postpartum Abdominal Pain
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摘要 数字人文的发展推动了中医古籍数字化的进程,通过构建中医古籍方药库,探索方药库中文本信息之间的隐性关联,发挥方药库的知识服务功能。以产后腹痛为例,通过自动分词、文本实体信息获取、药材性能信息获取、数据存储实现产后腹痛方药库的构建;利用频次分析,探讨中医古籍中产后腹痛的主要证治方法;依托改进的Bina-Apriori算法,挖掘产后腹痛药材配伍规律;通过历时分布分析,挖掘出方药运用贡献较大的时代,实现方药库的知识服务功能。将数字化工具运用于中医古籍的方药库构建及应用过程中,能够实现古籍显性知识的结构化表示及隐性知识的深度挖掘,为中医古籍数字化的发展提供支撑。 The development of digital humanities promotes the process of digitization of ancient books of Traditional Chinese Medicine(TCM).The study constructed the TCM database,explored the implicit relationship between knowledge factors,and gave play to the knowledge service function of the database.Taking postpartum abdominal pain as an example,this study constructed the database of prescriptions for postpartum abdominal pain through automatic word segmentation,text entity information acquisition,medicine performance information acquisition and data storage.By frequency analysis,the main treatment methods of postpartum abdominal pain in ancient books of TCM were discussed.Based on the improved Bina-Apriori algorithm,the compatibility law of puerperal abdominal pain was explored.Through the analysis of the diachronic distribution,this paper found out the times of greater contribution to prescription application,and realized the knowledge service function of prescription knowledge base.The application of digital tools in the construction and application of prescription knowledge base of ancient books of TCM can realize the structural representation of explicit knowledge and the deep mining of tacit knowledge,and provide support for the development of digitalization of TCM.
作者 张晓晓 张卫东 Zhang Xiaoxiao;Zhang Weidong(College of Business and Administration,Jilin University)
出处 《图书馆杂志》 北大核心 2023年第9期94-102,共9页 Library Journal
基金 国家社会科学基金项目“面向数字人文的档案文献数据组织与知识发现研究”(项目编号:19BTQ094)的研究成果之一。
关键词 中医古籍数字化 数字人文 知识挖掘 Digitalization of TCM Digital humanities Knowledge mining
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