Research on Construction Method of Knowledge Graph-Based on Mobile Phone Quality Detection

Knowledge Graph is an effective method for data mining, storage, and display, The introduction of the knowledge graph in the field of mobile phone quality detection can quickly achieve the acquisition of knowledge such as detection methods and detection basis, thereby improving product detection efficiency. The problem of reduced information coverage and high labor costs for limited areas based on predefined relationship types. This paper proposes a relationship extraction method that depends on the semantic structure of the syntax. It analyzes the syntactic features between entities and uses the verb meaning feature as the core to extract the relationship. Finally, the extracted triples are stored in the graph database Neo4j to complete the construction of the mobile phone quality detection knowledge graph. Intelligent support for mobile phone detection process with the knowledge graph.