基于知识图谱的产业链大数据平台设计与实现  

Design and implementation of industry chain big data platform based on knowledge graph

作　　者：万轶轩 张福安[1] 章永龙[1] Wan Yixuan;Zhang Fu'an;Zhang Yonglong(School of Information Engineering,Yangzhou University,Yangzhou 225000,China)

机构地区：[1]扬州大学信息工程学院,扬州225000

出　　处：《现代计算机》2024年第15期97-103,110,共8页Modern Computer

基　　金：扬州市科技计划项目市校合作专项(YZ2022185);扬州大学校级创新创业训练计划项目(XCX20230437)。

摘　　要：为了实现产业园区数字经济智能化全局发展,完善智慧园区功能配套设施,基于知识图谱技术,设计并实现一个基于Vue.js框架的产业链大数据分析与管理平台。平台实现可视化产业链知识图谱、数据大屏、关系查询、数据分析、数据管理等功能,针对性解决区域产业发展、监测评估、招商引资等问题。该平台通过产业链数据的深度挖掘,构建产业链全景,为产业园区提供综合性决策支持服务,剖析深层次产业链价值,发掘企业潜在的合作与竞争关系,促进区域之间的交流合作,协助提升企业的经济效益。In order to realize the overall development of digital economic intelligence in industrial parks and improve the functional supporting facilities of intelligent parks,a big data analysis and management platform for industrial chain based on Vue.js framework is designed and implemented based on knowledge graph technology.The platform realizes visual industrial chain knowledge mapping,data big screen,relationship query,data analysis,data management and other functions,targeted to solve the regional industrial development,monitoring and evaluation,investment promotion and other issues.Through the deep mining of industrial chain data,the platform builds industrial chain panorama,provides comprehensive decision-making support services for industrial parks,analyzes the value of the deep-level industrial chain,discovers the potential cooperation and competition among enterprises,promotes exchanges and cooperation among regions,and helps to improve the economic benefits of enterprises.

关 键 词：产业链 大数据 知识图谱 Vue.js 平台建设 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F424[自动化与计算机技术—计算机科学与技术]