Research on Knowledge Model for Product Lifecycle Management
To effectively describe the unorganized and scattered data generated in each stage of product lifecycle manage-ment,as well as the relationships between data,this paper proposes a knowledge graph based product lifecycle data modeling meth-od.This method effectively solves the problems of duplicate storage of system data models and lack of correlation between models.Meanwhile,to improve the efficiency of data modeling,this paper proposes an algorithm model that integrates graph neural net-works and LSTM based on attention mechanism to achieve automatic data modeling.To verify the effectiveness of the algorithm mod-el,algorithm performance comparison experiments are conducted based on the product dataset.The results show that the algorithm proposed in this paper has better performance indicators compared to other algorithms and can be applied to automatically construct knowledge models in product lifecycle management(PLM)systems.
product life cycle managementknowledge graphknowledge engineering
国家科技期刊平台
NSTL
万方数据
