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

DOI

10.2991/978-94-6463-656-7_11How to use a DOI?

Keywords

Knowledge Graph; Tibetan Medical Classics; Calming Medication; Neo4j

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.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinyao Ge
AU  - Xinlong Hu
AU  - Yue Li
AU  - Yifan Li
AU  - Lisha Jing
AU  - Ciren Suolang
PY  - 2025
DA  - 2025/02/28
TI  - Construction and Application Discussion of the Knowledge Graph for Tibetan Medicine Calming Prescriptions
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 109
EP  - 117
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_11
DO  - 10.2991/978-94-6463-656-7_11
ID  - Ge2025
ER  -