关键词: 数控机床, 知识图谱补全, 注意力机制, 知识嵌入, 知识问答

Abstract: In recent years,knowledge-based reasoning technology has been widely used in many fields,but the research in the field of CNC machine tool equipment maintenance is relatively scarce.From the perspective of knowledge reasoning,combined with the scattered and incomplete CNC equipment maintenance data,a new knowledge graph completion method based on attention mechanism was proposed,which coupled with CNN and BiGRU that named ConvBiGRU modules.ConvBiGRU module mainly encoded multiple inference paths between entities as low-dimensional embedding,and used the attention mechanism to capture the semantic correlation between candidate relationship and each path between two entities.The Embedding method was adopted to realize the multi-step knowledge question and answer in the field of CNC machine tool equipment maintenance.ComplEx was used to embed the knowledge graph of CNC machine tool equipment maintenance,while RoBERTa model was used to embed the user problems.The superiority of the proposed method in the field of CNC machine tool had been verified from many ways.

Key words: CNC machine tools, knowledge graph completion, attention mechanism, knowledge embedding, knowledge question answering