In order to address the problem of heterogeneous and difficulty in unified management and analysis of multi-source data in the field of drought disasters,this article starts from the theory of knowledge graph.Firstly,the drought disaster risk ontology was constructed based on the domain knowledge elements.Secondly,a knowledge extrac-tion method was designed based on the global discrete grid system.Taking the upstream area of Danjiangkou in the Han-jiang River Basin as an example,this method was used to extract knowledge triplets from spatiotemporal data in the ba-sin.Then the triplets were stored using a graph database,thus forming the knowledge graph concerning drought risk in river basin.Finally,the constructed graph was used as a spatial analysis framework,combining methods such as run-length theory and clustering were used to achieve comprehensive assessment of drought disaster risk in the basin.
NETL
NSTL
万方数据
