Research on knowledge extraction and linking methods for electric power policy documents based on knowledge graph

In the era of big data, power companies have accumulated a large number of policy documents at the government, industry, and company levels. Structuring these policy documents, efficiently extracting their core content, and fully exploiting their value is of great significance for optimizing business models, supporting management decisions, and building digital services in power companies. With the development of artificial intelligence technology, knowledge graphs have emerged. Knowledge graphs can link fragmented knowledge through relationships, building structured document knowledge bases, making the knowledge contained in the documents easier to understand, query, manage, and apply.