毕业设计:Vue3+FastApi+Python+Neo4j实现主题知识图谱网页应用

上传者: m0_46573428 | 上传时间: 2023-05-19 16:34:16 | 文件大小: 466.19MB | 文件类型: RAR
由于字数限制,详情请跳转:https://blog.csdn.net/m0_46573428/article/details/130071302 本项目针对典型目标知识图谱模型进行开发,主要包括数据收集与处理、实体识别与关系抽取、知识融合及知识存储与可视化四大部分。在此基础上,设计目标知识图谱网页应用软件原型系统。项目的完整度是很高的,包括页面设计、前端代码、后端代码、前后端交互、爬虫、深度学习模型、图数据库、知识图谱等。该系统由数据爬虫、数据管理、数据处理、知识问答、新闻热点、词条查询和图谱展示七个功能模块组成。而本系统拥有完整的数据处理和数据应用功能,能够充分且便捷地将各领域的数据移植到本系统中。 使用方式简述(配置完环境的前提下): 1. 启动neo4j:在根目录命令行中运行 neo4j.bat console 2. 启动后端程序:在根目录命令行中运行 python fast.py 3. 启动前端程序:在Vue3目录命令行下运行:①npm install ②npm run dev

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