A method of knowledge graph construction for the field of mechanical manufacturing processes

Nan Zhou; Yajun Wang; Bo Jin

doi:10.1117/12.3011494

7 December 2023 A method of knowledge graph construction for the field of mechanical manufacturing processes

Nan Zhou, Yajun Wang, Bo Jin

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412M (2023) https://doi.org/10.1117/12.3011494
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Mechanical manufacturing process knowledge exhibits complexity, detail-oriented nature, experiential characteristics, high learning cost, and continuous evolution, posing challenges in its management, utilization, and transmission. Enterprises currently face low knowledge reuse rates and high knowledge management costs. To address these issues, we propose a novel approach utilizing deep learning models to extract entities and relationships from unstructured knowledge, constructing a process knowledge graph. With deep learning's powerful comprehension abilities, we automatically extract critical information, organizing it into a structured knowledge graph consisting of 12 entities and 12 relationships. The process knowledge graph enables convenient knowledge transmission and sharing, increasing reuse rates and reducing redundant learning. It serves as an effective tool for process formulation, enhancing efficiency and enterprise benefits. Additionally, it facilitates prompt identification of suitable process parameters, accurate prediction of manufacturing issues, and timely adjustments. Moreover, the process knowledge graph fosters innovation by identifying optimization solutions and improving product quality and cost reduction. This approach offers significant competitive advantages and commercial value to the manufacturing industry.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Nan Zhou, Yajun Wang, and Bo Jin "A method of knowledge graph construction for the field of mechanical manufacturing processes", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412M (7 December 2023); https://doi.org/10.1117/12.3011494

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KEYWORDS

Manufacturing

Head

Semantics

Education and training

Lithium

Industry

Knowledge management

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