Research and Design of Knowledge Graph-based Online Learning Platform for English Majors

In order to enhance the intelligence level of online learning for English majors, a semantic association model is constructed based on knowledge graph to optimize the knowledge organization and learning resource adaptability. Knowledge extraction, storage optimization and personalized recommendation strategies are studied to construct a hierarchical knowledge system covering linguistics, translation, literature and other fields, and deep learning and path optimization algorithms are combined to enhance the intelligent level of learning path planning. The analysis concludes that the knowledge graph enhances the knowledge expression ability, optimizes the recommendation accuracy of learning resources, and improves the reasonableness of the learning path. There is still room for further research on the optimization of multimodal knowledge fusion and adaptive learning strategies.