Article Details

Abstract

Ancient texts of Traditional Chinese Medicine play an important guiding role in the inheritance and development of TCM. To further improve the retrieval efficiency of ancient text resources and fully realize their application value, this paper designs and implements an ancient text retrieval platform based on a Knowledge Graph. Through Web crawling, the platform acquires online ancient text resources, selects ancient pediatric texts as the data source, and stores ancient text information in both MySQL and Neo4j databases. The platform is built on the Django framework and introduces the ECharts front-end library to present the Knowledge Graph of ancient texts. It realizes functions including original text retrieval, prescription retrieval, Knowledge Graph retrieval of ancient texts, user center, and backend management, which effectively improves the retrieval efficiency of ancient texts of TCM.

Keywords

TCM ancient text; Knowledge Graph; retrieval platform

References

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Funding

Hunan University of Traditional Chinese Medicine Campus level Research Project (0004052)

About the authors

Wang Linfeng (1990-), male, Han nationality, from You County, Hunan Province, is a ninth grade laboratory technician with a master's degree. His research interests include traditional Chinese medicine informatization, software engineering, and machine learning.