resource · 2025

Research on the Organization and Application of Traditional Chinese Medicine Processing Knowledge in Lingnan Herbal Medicine Ancient Texts by Integrating Large Models and Knowledge Graph Technology

IEEE International Conference on Electrical, Automation and Computer Engineering

Organizations: Guangzhou University of Chinese Medicine

Research on the Organization and Application of Traditional Chinese Medicine Processing Knowledge in Lingnan Herbal Medicine Ancient Texts by Integrating Large Models and Knowledge Graph Technology is a resource in the TCM LLM catalog (Awesome-TCM-LLM), dated 2025. It is maintained alongside the GitHub list of Traditional Chinese Medicine large language models.

The authors used large language models and a knowledge graph to organize medicinal materials, processing methods, adjuvants, and effects in Lingnan herbal classics, stored the graph in Neo4j, and combined BERT-CAN-NER with generative large models for natural-language question answering.

Tags kgherbalextract

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