Research of Knowledge Graph Technology and its Applications in Agricultural Information Consultation Field

被引：4

作者：

Zhang, Fan ^{[1
]}

Wu, Jizhou ^{[1
]}

Nie, Yingli ^{[1
]}

Jiang, Lihua ^{[1
]}

Zhou, Ailian ^{[1
]}

Xie, Nengfu ^{[1
]}

机构：

[1] CAAS, Agr Informat Inst, Beijing, Peoples R China

来源：

2020 IEEE 39TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC) | 2020年

基金：

中国国家自然科学基金;

关键词：

knowledge graph; knowledge fusion; entity linking; knowledge merge;

D O I：

10.1109/IPCCC50635.2020.9391515

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

As a hot research field of big data intelligence, knowledge graph is widely concerned and discussed in recent years. This thesis elaborated the definition and architecture of knowledge graph, the development drive and its importance, analyzed the seven technologies in the knowledge graph: knowledge acquisition, knowledge representation, knowledge storage, knowledge fusion, knowledge modeling, knowledge computation and knowledge operation and maintenance, and introduced and prospected the application of knowledge graph in the agricultural information consultation and the challenges faced in its future development.

引用

页数：4

共 15 条

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