Design and development of graph retrieval system on Tibetan medicine knowledg
Cui Yanwei
Gao Yi
Abstract：In view of the semantic understanding that the traditional search engine cannot accurately understand the user's intention and context when dealing with and solving complex problems in the Tibetan medicine retrieval sys-tem,a knowledge graph retrieval system of Tibetan medicine based on knowledge graph technology was proposed.Firstly,the Tibetan medicine data was collected and proposed;secondly,the Tibetan medicine preprocessing data was extracted from the entities and relationships,and the two types of information were loaded into the neo4j graph data-base;and then,based on Django technology and graph databases(such as Neo4j),a knowledge graph on Tibetan med-icine retrieval system was developed,and a user-friendly interface was designed to realize the functions of keyword search and association recommendation.Finally,through user testing,performance evaluation,and feedback loops,the system performance and user experience were continuously optimized.Through the design and development of a graph retrieval system on Tibetan medicine knowledge,this study realized the effective organization and convenient access of Tibetan medicine knowledge,and provided a powerful research and learning tool for Tibetan medicine scholars,doctors and learners.
Keywords：Neo4jKnowledge graphDjango frameworkRetrieval Q&A system
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 74-80 )