• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Construction and application of traditional Chinese medicine knowledge graph based on the Chinese Pharmacopoeia

Corresponding author: GONG Mengchun, gmc@nrdrs.org
DOI: 10.12201/bmr.202407.00039
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Purpose/Significance Introduce the ontology theory in the field of electronic information technology into the study of TCM (traditional Chinese medicine) terminology, and demonstrate in a vivid way the dialectical relationship between the therapeutic effects of TCM and its nature, flavor, meridians and TCM diseases.Method/Process The top-down ontology construction method is adopted to build the top-level structure of TCM ontology on the Protégé platform. Taking the 2020 edition of the Chinese Pharmacopoeia as the data source, the TCM information in the pharmacopoeia is split and extracted, and the information of each axis is sorted, disambiguated and normalized. With the help of the Protégé platform, entities and relationships are created, and the TCM triple data is output in RDF data format. Finally, the Neo4j graph database is used to store and display the RDF data to form a systematic TCM knowledge graph.Result/Conclusion It mainly realizes the construction of the knowledge graph of TCM in the pharmacopoeia, and fully reveals the complex knowledge system structure in the field of TCM through data statistical analysis, knowledge measurement and drawing of visual graphics.

    Key words: Traditional Chinese Medicine; Chinese Pharmacopoeia; Knowledge graph; Protégé; Neo4j

    Submit time: 17 July 2024

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
  • 图表

  • ZHOU Hai, PENG Feiling, WEI Changfa. Research and Practice on the Construction of Syndrome Differentiation Knowledge Graph of Diagnostics of Traditional Chinese Medicine. 2020. doi: 10.12201/bmr.202004.00036

    Zhao Hanqing. Knowledge reasoning and intelligent recommendation based on knowledge map of Chinese patent medicine. 2024. doi: 10.12201/bmr.202404.00018

    Li Xiaoying, Cai Miaozhi, Li Junlian, Ren Huiling, Ji Yujing, Deng Panpan, Xia Guanghui. Research on the construction of COVID-19 knowledge graph for literature organization. 2020. doi: 10.12201/bmr.202010.00840

    LIU Yan, Zhang Xiao-xiao, HOU Li. Research on the construction and application of academic knowledge graph for knowledge service systems. 2024. doi: 10.12201/bmr.202402.00015

    WU Meng, LI Jiao. Construction of multimodal perinatal health care knowledge graph towards continuing medical education. 2024. doi: 10.12201/bmr.202402.00008

    chenjieqing, zhangfeng. Named Entity Recognition in Chinese Electronic Medical Records Using Knowledge Graph Construction. 2023. doi: 10.12201/bmr.202312.00011

    wuhuan, hekunlun. Construction of general medical knowledge graph based on evidence-based medicine and electronic medical record data. 2024. doi: 10.12201/bmr.202409.00027

    WANG Huaqiong, YU Dingguo, QIAN Guiping. Construction of Multi-modal Knowledge Graph Based on Medical Social Media Data. 2022. doi: 10.12201/bmr.202209.00005

    Fang Pan, Cao Yu-Ting, Ding Zi-Xiao, Zhang Shun, Li Zhao-Rong, Zeng Zhen-Yu, Zhu Rui. Preliminary Study on the Construction and Application of Proactive Healthcare Knowledge Graph for the Elderly Population in Community Setting. 2023. doi: 10.12201/bmr.202303.00038

    zhouyang, Kuang Zemin. Research progress,s application of medical knowledge graph. 2021. doi: 10.12201/bmr.202107.00012

  • ID Submit time Number Download
    2 2024-03-12

    bmr.202407.00039V2

    Download
    1 2024-03-12

    bmr.202407.00039V1

    Download
  • Public  Anonymous  To author only

Get Citation

FU Taotao, CHEN Yanmei, LI Qingna, SHAO Yiming, SU Guobin, GONG Mengchun. Construction and application of traditional Chinese medicine knowledge graph based on the Chinese Pharmacopoeia. 2024. biomedRxiv.202407.00039

Article Metrics

  • Read: 168
  • Download: 1
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误