Construction Method of Domain Knowledge Graph Based on Big Data-driven

被引：0
|
作者：
Wang, Ning [1 ]
Haihong, E. [1 ]
Song, Meina [1 ]
Wang, Yuan [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China
来源：
5TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2019) | 2019年
关键词：
domain knowledge graph; big data-driven; big data processing flow; artificial intelligence domain;
D O I：
10.1109/infoman.2019.8714664
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Most of the published research work mainly emphasizes one aspect of knowledge graph construction in isolation and neglects the big data processing flow in this process, which lacks of value in the practical construction of knowledge graph. Therefore, the paper proposes a construction method of domain knowledge graph based on big data-driven and build an artificial intelligence domain knowledge graph to prove the feasibility of this method, which covers artificial intelligence enterprises, patents, news, technology labels and other entities.
引用
收藏
页码：165 / 172
页数：8
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