藏医药知识图谱检索系统设计与开发

Design and development of graph retrieval systemon Tibetanmedicine knowledg

针对藏医药检索系统在处理解决复杂问题时面对的传统搜索引擎无法精确理解用户的意图和上下文的语义理解,提出基于知识图谱技术,构建一个藏医药知识图谱检索系统。首先,笔者完成藏医药数据收集与预处理环节,其次,从藏医药预处理数据中提取实体和关系,将其俩类信息加载到neo4j图数据库,再次,基于Django技术与图形数据库(如Neo4j)开发知识图谱藏医药检索系统,设计用户友好的界面,实现关键词搜索、关联推荐等功能。最后,通过用户测试、性能评估及反馈循环,持续优化系统性能与用户体验。该研究通过设计与开发藏医药知识图谱检索系统,实现了藏医药知识的有效组织与便捷访问,为藏医药学者、医生及学习者提供了一个强大的研究与学习工具。

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.