论知识图谱在中医理论领域的应用研究
Discussion on Application of Knowledge Graph in the Field of Traditional Chinese Medicine Theory
陈翔宇 1夏梦幻2
作者信息
- 1. 浙江中医药大学第一临床医学院 杭州 310053
- 2. 浙江中医药大学基础医学院
- 折叠
摘要
[目的]论述知识图谱在中医理论领域应用的现况与前景.[方法]采用文献研究法,收集整理有关知识图谱在中医理论领域应用的文献资料,挖掘其应用现状、研究价值与实践意义,并探讨发展方向.[结果]知识图谱可实现中医理论文献整理的半自动化、规范化,揭示隐性潜在的理论内涵,明晰理论间的关系,演绎时空矩阵,助力中医理论智能存储与普及推广.中医理论领域相关知识图谱的全自动构建、图谱间互联、再规范以及深度应用开发等,有待构建者的深度探索、综合运用,构建者也当强化知识图谱设计背后的中医思维.[结论]知识图谱能够立体化解构,并显性呈现中医理论的真实脉络.知识图谱的不断拓展、完善,可助力新时代中医理论体系的传承创新与蓬勃发展.
Abstract
[Objective]To discuss the current situation and prospect of the application of knowledge graph in the field of traditional Chinese medicine theory.[Methods]Through the literature research method,the literature about the application of knowledge graph in the field of traditional Chinese medicine theory was collected and sorted out,and its application status,research value and practical significance were explored,with the development direction also discussed.[Results]Knowledge graph can realize semi-automatic and standardized collation of literature in the field of traditional Chinese medicine theory,reveal latent theoretical connotation,clarify the relationship among theories,deduce space-time matrix,and help the intelligent storage and popularization of traditional Chinese medicine theory.The complete automatic construction,interconnection,re-standardization and deep application development of knowledge graph related to traditional Chinese medicine theory field need to be deeply explored and comprehensively applied by the builder,and the builder should also strengthen the traditional Chinese medicine thinking behind the design of knowledge graph.[Conclusion]Knowledge graph can three-dimensional deconstruct and manifest the true context of traditional Chinese medicine theory.The continuous expansion and improvement of knowledge graph can help the inheritance,innovation and vigorous development of the system of traditional Chinese medicine theory in the new era.
关键词
知识图谱/中医理论/人工智能/文献研究/理论应用/中医学Key words
knowledge graph/traditional Chinese medicine theory/artificial intelligence/literature research/theoretical application/traditional Chinese medicine引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据