Highly Recommended: Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers
The process of constructing a knowledge graph is a continuous iterative process that combines human and machine, primarily driven by machine learning, along with expert definitions and corrections. The tasks requiring human intervention include Schema definition, preparation of partially structured knowledge, and verification of machine learning results. Based on user feedback, the increase and update of corpus, the model is continuously updated and iterated.
The knowledge graph in specialized fields has been constructed, and after integrating its unique application forms with domain data and business scenarios, it will practically assist enterprises in achieving real commercial value in that field. Nowadays, knowledge graphs have been successfully applied in many industries.