Research Advances of Knowledge Extraction from Ancient Chinese Medicine Books
- VernacularTitle:面向中医古籍的知识抽取研究进展
- Author:
Ke ZHU
1
;
Yikai LI
;
Weihong LI
;
Zhihui ZHAO
;
Qiang XU
Author Information
- Publication Type:Journal Article
- Keywords: Ancient Chinese medicine books; Knowledge extraction; Natural language processing; Artificial intelligence
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(11):3295-3303
- CountryChina
- Language:Chinese
- Abstract: Ancient Chinese medicine books are the foundation of traditional Chinese medicine inheritance,innovation,and development,and the vast amount of knowledge they contain is worthy of in-depth mining.However,if researchers only rely on manual sorting,research progress will inevitably be slow.To overcome this,previous studies have attempted to extract knowledge from ancient Chinese medicine books automatically with natural language processing technology,which has made certain progress in the last decade.In this paper,we first introduce the text data-oriented knowledge extraction technology,then review the research progress of existing technologies in the two tasks of entity recognition and entity relationship extraction of ancient Chinese medicine books.Finally,we analyze the shortcomings of this research field and recommend standardizing data annotation,expanding entity categories,and paying attention to procedural knowledge.This review aims to provide a reference for the mining and utilization of ancient traditional Chinese medicine books in the era of artificial intelligence.
