Cn-MAKG: China Meteorology and Agriculture Knowledge Graph Construction Based on Semi-structured Data

In this paper, a method of constructing China meteorology and agriculture knowledge graph based on semi-structured data is proposed. Firstly, demand analysis, determine the boundary of knowledge, according to which design the schema of Cn-MAKG. Then the semi-structured knowledge data is preprocessed in accordance with the standard indexes in the domain of meteorology and agriculture. Finally, the graph database Neo4j is used to store the knowledge graph, so as to realize the construction of Cn-MAKG. At present, the knowledge graph has been successfully applied to the automatic generation of crop meteorological reports.