Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

Knowledge Graphs (KGs) hold the potential to revolutionize the manufacturing industry by streamlining processes, improving product quality, and providing insights into the manufacturing landscape. This research explores the current state of KG use in manufacturing, outlining both the opportunities and challenges for successful implementation. The goal is to promote the advancement of KG technology and its broader application within the manufacturing sector.

Grouped Reviewed Papers by Year

2022

• Hoch, T., Heinzl, B., Czech, G., et al. Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing. Link
• Alam, M., Fensel, A., Martinez-Gil, J., et al. Special Issue on Machine Learning and Knowledge Graphs. Link
• Freudenthaler, B., Martinez-Gil, J., Fensel, A., et al. KI-Net: AI-Based Optimization in Industrial Manufacturing - A Project Overview. Link
• Liu, M., Li, X., Li, J., et al. A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing. Link
• Kumar, A., Bharadwaj, A. G., Starly, B., et al. FabKG: A Knowledge graph of Manufacturing Science domain. Link
• Wang, Z., Zhang, B., Gao, D. A novel knowledge graph development for industry design. Link
• Bachhofner, S., Kiesling, E., Revoredo, K., et al. Automated Process Knowledge Graph Construction from BPMN Models. Link
• Bachhofner, S., Kurniawan, K., Kiesling, E., et al. Knowledge Graph Supported Machine Parameterization. Link
• Martinez-Gil, J., Buchgeher, G., Gabauer, D., et al. Root Cause Analysis in the Industrial Domain using Knowledge Graphs. Link
• Chhetri, T. R., Aghaei, S., Fensel, A., et al. Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs. Link

2021

• Buchgeher, G., Gabauer, D., Martinez-Gil, J., & Ehrlinger, L. Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. Link
• Rožanec, J. M., Zajec, P., Kenda, K., et al. XAI-KG: Knowledge graph to support XAI and decision-making in manufacturing. Link
• Meckler, S., Steinmüller, H., Harth, A. Building a Knowledge Graph with Inference for a Production Machine. Link
• Ko, H., Witherell, P., Lu, Y., et al. Machine learning and knowledge graph based design rule construction. Link
• Zhou, B., Bao, J., Li, J., et al. A novel knowledge graph-based optimization approach for resource allocation. Link
• Bachhofner, S., Kiesling, E., Kurniawan, K., et al. Knowledge Graph Modularization for Cyber-Physical Production Systems. Online

2020

• Zhou, X., Lim, M. Q., & Kraft, M. A Smart Contract-based agent marketplace for the J-Park Simulator. Link
• Nayak, A., Kesri, V., & Dubey, R. K. Knowledge Graph based Automated Generation of Test Cases in Software Engineering. Link
• Kalaycı, E. G., Grangel González, I., Lösch, F., et al. Semantic integration of Bosch manufacturing data. Link
• Bader, S. R., Grangel-González, I., Nanjappa, P., et al. A knowledge graph for industry 4.0. Link
• Yan, H., Yang, J., & Wan, J. KnowIME: a system to construct a knowledge graph for intelligent manufacturing equipment. Link
• Li, X., Chen, C.-H., Zheng, P., et al. A knowledge graph-aided concept--knowledge approach for evolutionary smart product--service system development. Link

2019

• Noy, N. F., Gao, Y., Jain, A., et al. Industry-scale knowledge graphs: lessons and challenges. Link
• Haase, P., Herzig, D. M., Kozlov, A., et al. metaphactory: A platform for knowledge graph management. Link
• Zhao, M., Wang, H., Guo, J., et al. Construction of an industrial knowledge graph for unstructured Chinese text learning. Link
• He, L., & Jiang, P. Manufacturing Knowledge Graph: A Connectivism to Answer Production Problems Query. Link
• Tushkanova, O., & Samoylov, V. Knowledge Net: Model and System for Accumulation, Representation, and Use of Knowledge. Link
• Eibeck, A., Lim, M. Q., & Kraft, M. J-Park Simulator: An ontology-based platform for cross-domain scenarios. Link
• Liebig, T., Maisenbacher, A., Opitz, M., et al. Building a Knowledge Graph for Products and Solutions in the Automation Industry. Online
• Kattepur, A. RoboPlanner: autonomous robotic action planning via knowledge graph queries. Link
• Dombrowski, U., Reiswich, A., & Imdahl, C. Knowledge Graphs for an Automated Information Provision in the Factory Planning. Link
• Aggour, K. S., Kumar, V. S., Cuddihy, P., et al. Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. Link
• Li, R., Dai, W., He, S., et al. A Knowledge Graph Framework for Software-Defined Industrial Cyber-Physical Systems. Link

2018

• Garofalo, M., Pellegrino, M. A., Altabba, A., et al. Leveraging knowledge graph embedding techniques for industry 4.0 use cases. Link
• Li, X., Zhang, S., Huang, R., et al. Structured modeling of heterogeneous CAM model based on process knowledge graph. Link
• Fu, L., Bai, Y., & Zhong, Z. Constructing a vertical knowledge graph for non-traditional machining industry. Link
• Grangel-González, I., Halilaj, L., Vidal, M.-E., et al. Seamless integration of cyber-physical systems in knowledge graphs. Link
• Grangel-González, I., Halilaj, L., Vidal, M.-E., et al. Knowledge Graphs for Semantically Integrating Cyber-Physical Systems. Link

2017

• Zhang, X., Liu, X., Li, X., & Pan, D. MMKG: an approach to generate metallic materials knowledge graph. Link
• Peroni, S., & Vitali, F. Interfacing fast-fashion design industries with Semantic Web technologies. Link
• Banerjee, A., Dalal, R., Mittal, S., et al. Generating Digital Twin Models using Knowledge Graphs. Link
• Zhao, Y., Liu, Q., & Xu, W. Open industrial knowledge graph development for intelligent manufacturing service matchmaking. Link
• Ringsquandl, M., Lamparter, S., Lepratti, R., et al. Knowledge Fusion of Manufacturing Operations Data Using Representation Learning. Link
• Ringsquandl, M., Kharlamov, E., Stepanova, D., et al. On event-driven knowledge graph completion in digital factories. Link

2016

• Hermann, M., Pentek, T., & Otto, B. Design principles for industrie 4.0 scenarios. Link
• Duan, W., & Chiang, Y.-Y. Building knowledge graph from public data for predictive analysis. Link

📚 Reference

If you use this work, please cite:

@Inbook{Martinez-Gil2024,
  author="Martinez-Gil, Jorge
  and Hoch, Thomas
  and Pichler, Mario
  and Heinzl, Bernhard
  and Moser, Bernhard
  and Kurniawan, Kabul
  and Kiesling, Elmar
  and Krause, Franz",
  editor="Soldatos, John",
  title="Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review",
  bookTitle="Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI",
  year="2024",
  publisher="Springer Nature Switzerland",
  address="Cham",
  pages="55--70",
  isbn="978-3-031-46452-2",
  doi="10.1007/978-3-031-46452-2_4",
  url="https://doi.org/10.1007/978-3-031-46452-2_4"
}