Article Details

Abstract

To solve the standardization and systematization difficulties in storing high-quality ethnic medicine data and provide reference for the popularization and research of ethnic medicine, aiming at the rich ethnic medical resources on the Internet, this paper extracts the data of Tibetan medicine, Miao medicine, Zhuang medicine and Mongolian medicine, and processes the data. It uses Neo4j graph database to store the data into the ethnic medicine knowledge graph database, and then carries out Knowledge Graph information extraction and fusion. Then the Knowledge Graph of ethnic medicine is constructed and visualized. The visualization system of ethnic medicine data based on Knowledge Graph can reduce the cost of information search, and has certain research significance and application value.

Keywords

Knowledge Graph; ethnic medicine; visualization; graph database

References

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Funding

Natural Science Foundation of Liaoning Province (2022-BS-104); Innovation and Entrepreneurship Training Program for College Students in Liaoning Province (202312026121); Research Project of Dalian Academy of Social Sciences in 2024 (2024 dlsky024)

About the authors

Meng Jiana (1972-), female, Han ethnicity, from Siping, Jilin, professor, PhD, research direction: machine learning and text mining; Corresponding author: Zhao Di (1992-), male, Han ethnicity, from Siping, Jilin, lecturer, PhD, research direction: entity recognition and knowledge graph.