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Strategy Analysis of Traditional Chinese Medicine Ancient Books Knowledge Base Construction Based on SWOT-PEST Model / 世界科学技术-中医药现代化
Article en Zh | WPRIM | ID: wpr-1019648
Biblioteca responsable: WPRO
ABSTRACT
Objective At present,the knowledge base of ancient books of traditional Chinese medicine has many problems,such as the lack of high-performance information processing model and efficient knowledge representation method,non-standard terms,resource sharing system has not been established,leading to the low efficiency of the knowledge base,be unable to fully and effectively explore and utilize knowledge.This study comprehensively investigated the internal and external environment of traditional Chinese medicine books knowledge base construction,and put forward countermeasures.Methods Based on the SWOT-PEST model,this study deeply analyzes the strengths and weaknesses of the construction of knowledge base of ancient books of traditional Chinese medicine,and sorts out the external opportunities and threats of its development from political,economic,social and technological dimensions.Result It proposes strategies such as giving full play to the role of policies,drawing lessons from successful experiences,promoting joint construction of disciplines,expanding publicity,carrying out precise services,raising funds from various sources,reforming and cultivating talents,establishing unified standards,perfecting updating mechanism,supplementing quality evaluation,improving infrastructure,optimizing performance model,and strengthening technological innovation.Conclusion This paper provides effective tools and construction strategies to realize the aggregation,mining and activation of knowledge of ancient books of TCM,enhance the depth of the creative transformation of ancient books,and promote the inheritance and academic innovation of traditional Chinese medicine.
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Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: World Science and Technology-Modernization of Traditional Chinese Medicine Año: 2023 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: World Science and Technology-Modernization of Traditional Chinese Medicine Año: 2023 Tipo del documento: Article