基于知识图谱的立体化知识产权教学资源建设与应用

Multidimensional teaching resources for intellectual property are not only a vital support for the cultivation of compound andapplied intellectual property talents, but also a new foundation for optimizing students knowledge structure and a new ecosystem thataids in enhancing students practical ability. The specific path to construct multidimensional intellectual property teaching resourcesbased on a knowledge graph is to use tools like Neo4j and go through three stages: data collection and preprocessing, ontology constructionand knowledge extraction, data modeling and knowledge storage. Thus, a knowledge network can be formed to reflect the intrinsicconnections between textbooks, presentations, video courses, laws and regulations, judicial cases, test questions, and other teachingelements. The specific application of multidimensional teaching resources based on the knowledge graph of intellectual property coursesis primarily demonstrated in updating and optimizing the talent development plan, providing more targeted guidance and personalizedteaching, as well as enhancing the accuracy and efficiency of Q&A in intellectual property course teaching.