The traditional way of organizing the content of Civic and Political Education relies on manual arrangement, which is inefficient and difficult to realize the analysis of inter-knowledge correlation. This paper proposes an intelligent organization and management method of Civic and Political Education content based on knowledge graph. The methodology adopts the Bert-Graph Attention-CRF model for entity recognition, and the BiGRU model that combines the attention mechanism with syntactic analysis to realize the relationship extraction, and constructs the Civic and Political Education Content Knowledge Graph. The study establishes a complete knowledge extraction process through semi-structured data crawling and unstructured text processing, and implements knowledge storage and visualization based on Neo4j graph database. The experimental results show that the F1 value of the proposed model reaches 96.23% in the Civics objective existence entity recognition task, and the F1 value is 88.46% in the Civics logical concept entity recognition. The system successfully acquires 5246 entities in the field of Civics and Politics and retains 746 valid entities after manual de-emphasis and merging, covering multiple categories such as political figures, political activities, political organizations and locations. The knowledge graph constructed in this study effectively solves the problem of intelligent organization and management of Civic and political education content, provides technical support for the informatization of Civic and political education, and significantly improves the utilization efficiency of teaching resources and knowledge discovery ability.
