The process of constructing a knowledge graph is a continuous iterative process that combines human and machine, primarily driven by machine learning, 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 corpora, the model is continuously updated and iterated.
The knowledge graph in specialized fields has been completed, and when combined with its unique application forms, domain data, and business scenarios, it will effectively help enterprises achieve actual commercial value in this field. Today, knowledge graphs have been successfully applied in many industries.
