摘要
知识发现方法可以从大量数据中,发现和提取隐含的、未知的、潜在有用并能被人们理解的规则与模式。通过构建《黄帝内经》肝藏象知识发现模型,设计《黄帝内经》肝藏象注家专题数据库,并在此基础上采用知识网络算法构建各注家知识点之间关系矩阵,分析各注家之间的关联程度。将知识发现方法应用于《黄帝内经》肝藏象研究,能够为《黄帝内经》肝藏象研究提供新的方法和思路,为智能化抽取《黄帝内经》注本知识提供科学参考。将知识发现方法应用于《黄帝内经》藏象研究应该注意避免教条的公式化思维,不能脱离中医基础理论的本源。
The methodes of knowledge discovery in database can discover and extract hidden, unknown, potentially useful and understandable rules and patterns from a large amount of data. Through the construction of knowledge discovery in database model on liver visceral manifestation of Huangdi Neijing, design the specialists database of liver visceral manifestation of Huangdi Neijing, based on the knowledge network algorithm to build the relationship between each note knowledge matrix, analysis of the degree of correlation between the annotators. It can provide the new methods and ideas for the visceral manifestation research of Huangdi Neijing, and provide a scientific reference for the intelligent extraction knowledge of annotations. The study of knowledge discovery in database method that applied to Huangdi Neijing should pay attention to avoid formulaic thinking dogma, cannot be separated from traditional Chinese medicine the basic theoryof origin.
作者
佘燕达
鞠宝兆
SHE Yan-da;JU Bao-zhao(Liaoning University of Traditional Chinese Medicine, Shenyang 110847, China)
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2018年第5期1914-1916,共3页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
国家公共卫生事业专项(No.2010GJ08)~~
关键词
知识发现
黄帝内经
肝藏象
知识网络
Knowledge discovery
Huangdi Neijing
Liver visceral manifestations
Knowledge network