Research on Optimization of Knowledge Graph Construction Flow Chart

Constructing knowledge graph (KG) is the basic condition to realize the application of knowledge graph such as semantic search and intelligent question and answer. In this paper, the principle of knowledge graph construction is introduced in detail from three aspects: structure, construction method and construction process, and the knowledge graph architecture including data source, knowledge extraction, knowledge fusion, knowledge processing, knowledge representation, knowledge storage and knowledge base is proposed. Then, the current flow chart of knowledge graph construction is analyzed, and three specific problems are put forward. Finally, according to the principle of knowledge graph construction, aiming at the existing problems, the specific optimization scheme is put forward, and the flow chart of knowledge graph construction after optimization is drawn. The flow chart of knowledge graph construction before and after optimization is compared and analyzed from five aspects: accuracy, intuition, complexity, representation adequacy and application scope.