Study on the Construction Method of Requirement Knowledge Atlas Based on Graph Neural Network
Fei Wang, Shuo Wang, Qing Tang, Yongjie Du · 2021
As a structured semantic knowledge system, knowledge graph mainly uses symbols to present physical concepts in real life, which involves three aspects: triples, entities and the network structure connected with related number structures. Although there is a wide range of research on knowledge graph at present, most of the research on knowledge graph in China is of general type. Therefore, on the basis of clarifying the construction method of required knowledge graph, this paper, aiming at the overall formal representation and construction framework of knowledge graph, makes clear the specific representation mode of pattern layer and data layer from the logical perspective, and then verifies and analyzes the proposed method.