数智化环境下人机协同的中医药语义知识组织与知识服务研究

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中图分类号：G254；TP18 文献标识码：A DOI：10.11968/tsyqb.1003-6938.2025067

Research on Human-Machine Collaborative Methods for Semantic Knowledge Discovery in Chinese Medicine within a Digital-lntelligent Environment

Liu Xuanqi Chu Wei Wang Xiaoyu Sun Jiayue Wang Yufei Gu Dongxiao

Abstract The digitaland intellgent transformation presents significant oportunities for the modernization and inteligent servicing of Traditional Chinese Medicine（TCM） knowledge.However，the inherent characteristics of the TCM knowledge system—such asambiguous terminology，multi-source heterogeneity，and semantic complexity—pose considerablechalenges to itsstructured organizationand intelligent application.This paper constructs a human-in-the-loop TCM semantic knowledge organization and service framework based ona "model generation—human correction—feedback optimization"paradigm.By integratingtheautomated extractioncapabilitiesof large language models with the manual verification mechanisms of domain experts，the framework achieves precise identificationand dynamic optimization of entities and relationships within TCM literature. Using the prevention and treatment of gastric diseases in TCM as a case study，theframework's application potential is validated inareas such as assisting clinical diagnosis andtreatment， enabling personalized medication recommendations，and supporting proactive health management.This work contributes to thesystematic transformationofTCMknowledge，its intellgentservicedeliveryanditsdeeperintegrationwithmodern medicine.

Keywords Chinese Medicine knowledge graph;artificial intellgence;semantic knowledge organization;smart diagnosisand treatment

《“十四五”中医药发展规划》为中医药的发展提供了强有力的政策支持，为中医药的现代化、产业化和数智化奠定了坚实基础[1]。（剩余12993字）