The process of building a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, with expert definitions and corrections. The tasks requiring human intervention includeSchema definition, preparation of partially structured knowledge, and validation of machine learning results. Based on user feedback, the increase and update of corpora, the model is continuously updated and iterated.
Knowledge graphs in professional fields have been constructed. Once they possess unique applications and are combined with domain data and business scenarios, they will effectively assist enterprises in achieving real commercial value in that field. Nowadays, knowledge graphs have been successfully applied in many industries.
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