Abstract
The integration of Knowledge Graphs (KGs) in the manufacturing industry can significantly enhance the efficiency and flexibility of production lines and improve product quality. By integrating and contextualizing information about devices, equipment, production resources, location, usage, and related data, KGs can be a powerful operational tool. Moreover, KGs can contribute to the intelligence of manufacturing processes by providing insights into the complex and competitive manufacturing landscape. This research work presents a comprehensive analysis of the current trends utilizing KG in the manufacturing sector. We provide an overview of the state of the art in KG applications in manufacturing and highlight the critical issues that need to be addressed to enable a successful implementation. Our research aims to contribute to advancing KG technology in manufacturing and realizing its full potential to enhance manufacturing operations and competitiveness.
Original language | English |
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Title of host publication | Artificial Intelligence in Manufacturing |
Subtitle of host publication | Enabling Intelligent, Flexible and Cost-Effective Production Through AI |
Place of Publication | Cham |
Publisher | Springer |
Pages | 55-70 |
Number of pages | 16 |
ISBN (Electronic) | 9783031464522 |
ISBN (Print) | 9783031464515 |
DOIs | |
Publication status | Published - 8 Feb 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024. All rights reserved.
Keywords
- Cyber-Physical systems
- Industry 5.0
- Knowledge graphs
- Manufacturing industry
- Predictive analytics
- Semantic modeling