[HTML][HTML] Semantic web and knowledge graphs for industry 4.0

M Yahya, JG Breslin, MI Ali - Applied Sciences, 2021 - mdpi.com
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …

A review and classification of manufacturing ontologies

P Sapel, L Molinas Comet, I Dimitriadis… - Journal of Intelligent …, 2024 - Springer
One core concept of Industry 4.0 is establishing highly autonomous manufacturing
environments. In the vision of Industry 4.0, the product leads its way autonomously through …

Actionable cognitive twins for decision making in manufacturing

JM Rožanec, J Lu, J Rupnik, M Škrjanc… - … Journal of Production …, 2022 - Taylor & Francis
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive
capabilities through a knowledge graph and artificial intelligence models that provide …

[HTML][HTML] Towards the implementation of Industry 4.0: A methodology-based approach oriented to the customer life cycle

VJ Ramírez-Durán, I Berges, A Illarramendi - Computers in Industry, 2021 - Elsevier
Many different worldwide initiatives are promoting the transformation from machine
dominant manufacturing to digital manufacturing. Thus, to achieve a successful …

Semantic modeling, development and evaluation for the resistance spot welding industry

M Yahya, B Zhou, JG Breslin, MI Ali… - IEEE Access, 2023 - ieeexplore.ieee.org
The ongoing industrial revolution termed Industry 4.0 (I4. 0) has borne witness to a series of
profound changes towards increasing smart automation, particularly in the industrial sectors …

[HTML][HTML] A semantic approach for big data exploration in industry 4.0

I Berges, VJ Ramírez-Durán, A Illarramendi - Big Data Research, 2021 - Elsevier
The growing trends in automation, Internet of Things, big data and cloud computing
technologies have led to the fourth industrial revolution (Industry 4.0), where it is possible to …

A real-time semantic based approach for modeling and reasoning in Industry 4.0

FZ Amara, M Djezzar, M Hemam, S Tiwari - International Journal of …, 2024 - Springer
In the rapidly evolving landscape of Industry 4.0, the transformation of manufacturing
processes is driven by the seamless integration and intelligent utilization of data. The …

[HTML][HTML] Decentralized holonic control system model for line-less mobile assembly systems

AF Buckhorst, L Grahn, RH Schmitt - Robotics and Computer-Integrated …, 2022 - Elsevier
Abstract The Line-less Mobile Assembly System paradigm (short LMAS) provides
necessitated flexibility, especially for large-scale products as customer demands for …

Architecture for ontology-supported multi-context reasoning systems

A LeClair, J Jaskolka, W MacCaull, R Khedri - Data & Knowledge …, 2022 - Elsevier
Modern smart systems such as those needed for Industry 4.0 integrate data from various
sources and increasingly require that data be contextualized with domain knowledge. The …

Bridging the gap between domain ontologies for predictive maintenance with machine learning

A Canito, J Corchado, G Marreiros - World Conference on Information …, 2021 - Springer
Predictive maintenance often relies on the continuous monitorization of equipment behavior,
generally provided by sensors or by the very equipment. Additional data from management …