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Construction of typhoon disaster knowledge graph based on graph database Neo4j

Authors :
Yuyang Tang
Xuelian Wu
Pengcheng Liu
Juan Nie
Qifan Zhao
Ping Wang
Lei Sun
Hailei Wang
Li Wenbo
Yinliang Huang
Source :
2020 Chinese Control And Decision Conference (CCDC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The typhoon knowledge graph can correlate various kinds of information in the typhoon data, conduct overall and related analysis, and finally provide effective assistance for typhoon prevention and post-disaster protection. The data of typhoon landing in China from 2000 to 2015 were selected to build a typhoon knowledge graph based on Neo4j graph database platform. The typhoon knowledge graph can be used to understand the occurrence of historical typhoons and obtain the distribution of typhoon data in time and space.

Details

Database :
OpenAIRE
Journal :
2020 Chinese Control And Decision Conference (CCDC)
Accession number :
edsair.doi...........175ab1c231e0529bc260f3e4b088a319
Full Text :
https://doi.org/10.1109/ccdc49329.2020.9164384