Abstract
Knowledge graph technology has developed rapidly in recent years, and it is widely used in various scenarios, such as intelligent semantic search, intelligent in-depth question answering and mobile personal assistants. However, power marketing services face many problems such as low service response efficiency, poor customer experience and a lack of real-time online services. Thus, it is necessary to design a power marketing knowledge graph platform that can integrate scattered knowledge points in the power marketing field, promote knowledge utilization, improve internal and external service, and strengthen active perception and service functions/capabilities. Based on the establishment of the Neo4j power marketing graph database, this paper further combined rules, dictionaries and models to extract knowledge, and builds an application architecture of knowledge graph platform with knowledge management applications and extraction service functions. It expected to accurately identify the subject of the inquiry from the diversified questions expressed by users, and the answer can be found from the power marketing knowledge graph.
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