JOURNAL ARTICLE

Survey on Large Scale Enterprise-level Knowledge Graph Practices

WANG Haofen, DING Jun, HU Fanghuai, WANG Xin

Year: 2020 Journal:   DOAJ (DOAJ: Directory of Open Access Journals)

Abstract

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.

Keywords:
Knowledge graph Graph Knowledge engineering Knowledge extraction Knowledge representation and reasoning Knowledge-based systems Key (lock) Open Knowledge Base Connectivity

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Topics

Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Cognitive Computing and Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Big Data and Digital Economy
Physical Sciences →  Computer Science →  Information Systems

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