Construction and Application Discussion of the Knowledge Graph for Tibetan Medicine Calming Prescriptions

Xinyao Ge (), Xinlong Hu (), Yue Li (), Yifan Li (), Lisha Jing () and Ciren Suolang ()
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Xinyao Ge: Tibet University Information Science and Technology College
Xinlong Hu: Tibet University Information Science and Technology College
Yue Li: Tibet University Information Science and Technology College
Yifan Li: Ningxia Medical University, Clinical Medical College
Lisha Jing: Guizhou Electronic Certificate Co., Ltd.
Ciren Suolang: Tibet University Information Science and Technology College

A chapter in Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), 2025, pp 109-117 from Springer

Abstract: Abstract This paper explores the application of artificial intelligence technology in the field of Tibetan medicine calming formulae by constructing a knowledge graph, aiming to answer the question of how to efficiently manage and utilize this knowledge with artificial intelligence techniques. Through the study of Tibetan calming formulas, four types of entities and three types of entity relationships have been identified. The research indicates that constructing the Tibetan medicine calming formula knowledge graph not only provides new ideas for the storage of Tibetan medical knowledge but also opens up a new path for the inheritance and development of Tibetan medicine.

Keywords: Knowledge Graph; Tibetan Medical Classics; Calming Medication; Neo4j (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-656-7_11

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