中国中医药信息杂志2024，Vol.31Issue(8)：37-43,7.DOI:10.19879/j.cnki.1005-5304.202305234
基于命名实体识别的《神农本草经》知识图谱构建及可视化分析
Knowledge Graph Construction and Visualization Analysis of Shen Nong Ben Cao Jing Based on Named Entity Recognition
摘要
Abstract
Objective To construct the knowledge map of Shen Nong Ben Cao Jing;To analyze basic knowledge of materia medica,explore implicit knowledge,and conduct visualization display;To provide methodological references for the study of ancient books.Methods The types of knowledge entities and relationships between entities involved in the Shen Nong Ben Cao Jing were organized and expressed.A training corpus dataset was produced using the BIO sequence labeling method;a self-developed CNLP text labeling system was used for text labeling;the BERT model was used to recognize named entities;the relationships between entities were set based on rules and semantic associations;the data were imported into the Neo4j-community 4.4.9 graph database using Cypher language for storage and visualization display after knowledge fusion;finally a knowledge graph was constructed.Results The knowledge map of Shen Nong Ben Cao Jing included 5 273 nodes and 11 064 relationships.The pattern layer contained 14 entity classes and 16 relationship types.Through Cypher language query,knowledge was visualized from the aspects of TCM classification,medicinal property theory,compatibility of seven emotions and application of TCM.Conclusion The knowledge graph constructed in this study intuitively reflects the knowledge recorded in Shen Nong Ben Cao Jing and the recessive relationship,which is suitable for knowledge mining and intuitive multi-dimensional display of ancient TCM books.关键词
知识图谱/神农本草经/本草知识/命名实体识别Key words
knowledge graph/Shen Nong Ben Cao Jing/materia medica knowledge/named entity recognition分类
医药卫生引用本文复制引用
佟琳,张华敏,佟旭,雷蕾,王程,曾子玲,杨洪军..基于命名实体识别的《神农本草经》知识图谱构建及可视化分析[J].中国中医药信息杂志,2024,31(8):37-43,7.基金项目
国家自然科学基金(82105055) （82105055）
中国中医科学院科技创新工程(CI2021A03708) （CI2021A03708）
中央级公益性科研院所基本科研业务费专项(ZZ13-YQ-131) （ZZ13-YQ-131）
