Automatic Generation Method of Knowledge Graph for Complex Product Assembly Processes Based on Text Mining

• Introduces a novel method (APKG-CP) for automatically constructing assembly process knowledge graphs from complex product documents using text mining, addressing high costs and low efficiency. • Employs a Bert-BiLSTM-CRF model to extract entities and relationships from unstructured assembly process text, enhancing semantic representation. • Validates the approach with an aerospace enterprise case, demonstrating successful knowledge graph construction and visualization. • Shows practical effectiveness by integrating the knowledge graph with an assembly process preparation system, improving process design.