Construction of typhoon disaster knowledge graph based on graph database Neo4j

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 buil...

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Bibliographic Details
Main Authors: Liu, Pengcheng, Huang, Yinliang, Wang, Ping, Zhao, Qifan, Nie, Juan, Tang, Yuyang, Sun, Lei, Wang, Hailei, Wu, Xuelian, Li, Wenbo
Format: Conference Proceeding
Language:English
Subjects:
Electronic mail
Knowledge engineering
Knowledge Graph
Neo4j
Semantics
Tropical cyclones
Typhoon disaster
Urban areas
Wind speed
Online Access:Request full text
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Summary: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.
ISSN:1948-9447
DOI:10.1109/CCDC49329.2020.9164384