Construction of Intelligent Educational Teaching Evaluation System Based on Knowledge Graph and Natural Language Processing

This project constructs a subject knowledge map for instructional design based on natural language processing technology. This provides a new way of thinking and method for the teaching practice of this subject. Firstly, the ontology-oriented dictionary learning method is studied. By using the fusion ontology relation extraction method, the subject-action-semantic association is extracted to enrich the category of association. Ontology alignment technique is used to disambiguate the extracted knowledge base. Using “Neo4j” as the development tool, the knowledge map of course design theme is displayed visually. It is found that presenting the image of information and knowledge in the subject teaching is an operable technological support. The system further expands the applied research field. Knowledge graph and other visual tools will be used in more education fields in the future to achieve specific visual education based on the corresponding experience and lessons.