Survey on Large Scale Enterprise-level Knowledge Graph Practices

• Published in: Jisuanji gongcheng
• Main Author: WANG Haofen, DING Jun, HU Fanghuai, WANG Xin
• Format: Article
• Language: English
• Published: Editorial Office of Computer Engineering 2020-07-01
• Subjects: knowledge graph|representation learning|knowledge extraction|knowledge storage|knowledge reasoning|enterprise-level knowledge graph platform|knowledge graph middle platform
• Online Access: https://www.ecice06.com/fileup/1000-3428/PDF/20200701.pdf

In recent years,knowledge graph and its related technologies have developed rapidly and have been widely used in various cognitive intelligence scenarios in industry.This paper gives a brief description of researches in knowledge graph,and on this basis introduces key technologies of knowledge graph in engineering applications.Next,the paper studies the typical application scenarios of industry knowledge graphs,the corresponding case studies supported by well-known industry knowledge graph platforms and relevant available tools in each phase of the life cycle of knowledge graphs.Then the paper analyzes requirements of constructing enterprise-level knowledge graph platforms and key problems in this process,describes construction method and process of construction.In view of the problems encountered in platform construction,this paper gives corresponding solutions of knowledge graph middle platform construction,and prospects the future development and challenges of knowledge graph.