一种基于中医药典籍元术语引擎的智能问答方法和系统
By constructing an intelligent question-and-answer system based on a meta-terminology engine for traditional Chinese medicine classics, we have achieved deep integration and intelligent question-and-answer functionality of knowledge from traditional Chinese medicine classics. This has solved the problems of terminology standardization and semantic understanding in the field of traditional Chinese medicine, and improved the accuracy of knowledge retrieval and clinical decision support capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF BASIC THEORY OF TCM CHINA ACADEMY OF CHINESE MEDICAL SCI
- Filing Date
- 2025-09-17
- Publication Date
- 2026-07-17
AI Technical Summary
Due to the unique knowledge system and complex evolution of terminology in the field of traditional Chinese medicine, intelligent question-answering systems suffer from problems such as low standardization of terminology, superficial semantic understanding, and fragmented knowledge sources, making it difficult for existing technologies to effectively utilize knowledge from traditional Chinese medicine classics.
We construct an intelligent question-answering system based on a meta-term engine of traditional Chinese medicine classics. By receiving natural language questions input by users, we perform semantic parsing and terminology standardization mapping, use the CTVS association framework for graph pattern matching and reasoning, integrate multiple deep association paths, and generate structured answers.
It has achieved deep integration of knowledge from traditional Chinese medicine classics and intelligent question-and-answer services, improved the accuracy of knowledge retrieval, solved the problem of synonyms and variants of terms, and supported cross-temporal and spatial dialogue of knowledge from ancient and modern times and clinical decision support.
Smart Images
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