At present, the construction of knowledge graph for poverty alleviation is relatively scarce. This paper builds a set of tools for semi-automatic generation of knowledge graph based on the data sources in the poverty alleviation field in Chongqing which. First, the LOAD statement is automatically generated and imported into the Neo4j graph database. Secondly, semantic mapping is performed between different data classes in the Chongqing poverty alleviation data source according to the rules defined by the ontology. Based on the results obtained by the semantic mapping, the MATCH statement imported graph database is automatically generated. Finally, query the relational data stored in the Neo4j graph database through the Echarts component. Users and developers can use and maintain knowledge graph conveniently through a feature-rich application interface, which is of great significance to the application and disclosure of basic data for poverty alleviation departments.