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Article . 2023
Data sources: DOAJ
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Construction of industry knowledge graph based on graph theory

Authors: Zhenjun LI; Zujun LIU; Peng WANG; Bin YANG; Dazhong LI; Yu GUO; Hua ZHAO;

Construction of industry knowledge graph based on graph theory

Abstract

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.

Keywords

Electronic computers. Computer science, QA75.5-76.95, graph theory;industry map;knowledge network

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold