| 知识图谱技术在中医药研究中的应用 |
| 投稿时间：2024-02-28 修订日期：2024-04-22 点此下载全文
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| 作者中文名 | 作者英文名 | 单位中文名 | 单位英文名 | E-Mail |
| 黄佳丽 |
huangjiali |
中国医学科学院药用植物研究所 |
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College |
jialihappe@126.com |
| 王彦峰 |
wang yanfeng |
中国医学科学院药用植物研究所 |
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College |
wangyf@bjast.ac.cn |
| 侯子雨 |
hou ziyu |
中国医学科学院药用植物研究所 |
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College |
1204532433@qq.com |
| 刘海波* |
liu haibo |
中国医学科学院药用植物研究所 |
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College |
hbliu@implad.ac.cn |
| 董政起 |
dong zhengqi |
中国医学科学院药用植物研究所 |
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College |
zqdong@implad.ac.cn |
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| 基金项目:中国医学科学院医学与健康科技创新项目（No.2022-I2M-1-018） |
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| 中文摘要:知识图谱技术在从关系的角度发掘实体与实体间关联方面具有独特优势，中医药知识具有高度复杂性和内在强关联性的特点，因此，知识图谱技术更适合应用于中医药学研究，探索复杂对象之间的关系。中医药知识图谱研究在模式层构建、实体命名和识别等方面取得了长足发展，深度学习、Python编程、链路预测、预训练模型等技术被引入到知识图谱中，进一步提高了知识图谱的可靠性和构建效率。本文回顾了中医药知识图谱技术近些年的发展历程，从概念、构建方法、在中医药领域的应用、不足几个方面进行文献综述，帮助读者更全面的了解知识图谱技术在中医药领域的应用现状，促进知识图谱在中医药领域的发展和应用。 |
| 中文关键词:知识图谱，科学知识图谱，中医药，应用现状 |
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| Application of knowledge graph technology in traditional Chinese medicine research |
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| Abstract:Knowledge graph technology has unique advantages in exploring the relationships between entities from the perspective of relationships. Traditional Chinese medicine knowledge has the characteristics of high complexity and strong internal correlation, so knowledge graph technology is more suitable for applying to traditional Chinese medicine research and exploring the relationships between complex objects. The research on traditional Chinese medicine knowledge graph has made significant progress in pattern layer construction, entity naming, and recognition. Technologies such as deep learning, Python programming, link prediction, and pre trained models have been introduced into the knowledge graph, further improving the reliability and construction efficiency of the knowledge graph. This article reviews the development process of traditional Chinese medicine knowledge graph technology in recent years, and provides a literature review from the concepts, construction methods, applications in the field of traditional Chinese medicine, and shortcomings. It helps readers to have a more comprehensive understanding of the current application status of knowledge graph technology in the field of traditional Chinese medicine, and promotes the development and application of knowledge graph in the field of traditional Chinese medicine. |
| keywords:knowledge graph, scientific knowledge graph, traditional Chinese medicine, current application status |
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