Abstract

By constructing a knowledge graph based on traditional medical intangible cultural heritage, comprehensive organization and storage of traditional medical intangible cultural heritage can be achieved, thereby achieving the protection of traditional medical culture. Firstly, Python's web crawler technology was used to obtain relevant data on traditional medical intangible cultural heritage, and it was cleaned and organized. Subsequently, using knowledge graph technology, thematic extraction, fusion, and correlation analysis were performed on the data to construct a knowledge graph centered on traditional medicine. In the process of constructing the knowledge graph, ontology modeling and semantic network technology were used to model and represent traditional pharmaceutical related concepts and relationships, achieving structured storage of the knowledge graph. At the same time, using visualization technology, the knowledge graph is presented in a graphical form, enabling the intuitive presentation of the knowledge and value of traditional medical intangible cultural heritage. Ultimately, a knowledge graph based on traditional medical intangible cultural heritage is obtained, which covers a wealth of traditional medical knowledge and related resources, and can help users gain a more comprehensive understanding and learning of traditional medical culture. By storing and visualizing the knowledge of traditional medical intangible cultural heritage in a structured manner, it provides important support and foundation for the protection and inheritance of traditional medicine.

Full Text
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