基于联合学习的概念设计知识抽取与图谱构建

To increase the efficiency of design knowledge acquisition in the process of conceptual product design, and solve the problems of fragmentation, limited reasoning and insufficient visualisation of data, the design knowledge extraction and knowledge graph construction approach for conceptual product design was proposed based on the joint learning. The design knowledge graph framework was constructed according to the design knowledge requirements and conceptual product design process. Then, the design knowledge extraction model based on joint learning was proposed for overlapping entity and relation extraction. This model used the ELECTRA algorithm for text semantic coding, and converted triple extraction to mapping two entities based on joint learning. The results of the comparison experiment on real design - related data and the DuIE datasct showed better performance of the proposed design knowledge extraction model. A creative cultural design knowledge graph for conceptual product design was developed to provide designers with relevant, reasonable visual design knowledge and further support conceptual product design.