Construction of typhoon disaster knowledge graph based on graph database Neo4j

作者：Pengcheng Liu, Yinliang Huang, Ping Wang, Qifan Zhao, Juan Nie, Yuyang Tang, Lei Sun, Hailei Wang, Xuelian Wu, Wenbo Li · 年份：2020 · DOI：10.1109/ccdc49329.2020.9164384 · 被引用次数：18 · 研究领域：Advanced Computational Techniques and Applications、Complex Network Analysis Techniques、Advanced Text Analysis Techniques

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.