计算机与现代化Issue(8)：11-16,6.DOI:10.3969/j.issn.1006-2475.2024.08.003
基于知识图谱的区域企业关联可视化及关系挖掘
Regional Enterprise Association Visualization and Relationship Mining Based on Knowledge Graph
摘要
Abstract
Given the complex network structure of existing regional enterprise association analysis results,which is difficult to comprehend,and the dynamic nature of regional enterprise associations in time and space.In response to the challenges in inter-preting results in current regional enterprise analysis,this paper adopts a knowledge graph-based model for regional enterprise association analysis.It utilizes diverse and heterogeneous data for knowledge extraction and storage,coupled with the Neo4j graph database to realize knowledge storage of regional enterprise relationships.In terms of force-directed layout,the utilization of repulsive force optimization and node-edge processing successfully achieves the visualization of enterprise relationships.Through in-depth exploration and analysis of inter-enterprise associations,the aim is to reveal cooperation and competition rela-tionships among regional enterprises,providing decision support for government industrial policy formulation,enterprise invest-ment attraction,and inter-enterprise collaboration.Experimental results demonstrate that the model accurately reveals inter-enterprise relationships,offering robust support for regional economic development.关键词
知识图谱/企业关联分析/区域经济/关系挖掘/可视化决策支持Key words
knowledge graph/enterprise correlation analysis/regional economy/relationship mining/visual decision support分类
管理科学引用本文复制引用
汪显顺,熊卿智,万磊,李祥,林重汕,金安安..基于知识图谱的区域企业关联可视化及关系挖掘[J].计算机与现代化,2024,(8):11-16,6.基金项目
江西省军民融合北斗通航重点实验室开放基金资助项目(2022JXRH0005) （2022JXRH0005）
