Construction of industry knowledge graph based on graph theory

Autor: Zhenjun LI, Zujun LIU, Peng WANG, Bin YANG, Dazhong LI, Yu GUO, Hua ZHAO
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: 大数据, Vol 9, Pp 174-183 (2023)
Druh dokumentu: article
ISSN: 2096-0271
DOI: 10.11959/j.issn.2096-0271.2023078
Popis: China has the largest industrial scale and the most abundant industry type among the world.However, due to the influence of many factors, it is necessary to discover the blocking and breakpoints of the industrial chain, identify the stuck points, find alternative channels, and comprehensively optimize the industry.Then, this article explained the construction process of the industry knowledge graph from three aspects: data base construction, core knowledge graph mining, and compatibility with traditional industry chain knowledge.Finally the application scenarios and advantages of industry knowledge graph was analyzed, and an application case was given in the integrated circuit industry.
Databáze: Directory of Open Access Journals