Knowledge discovery in heterogeneous and unstructured data of industry 4.0 systems: challenges and approaches

S Kamm, N Jazdi, M Weyrich - Procedia CIRP, 2021 - Elsevier
With the rise of the Internet of Things and Industry 4.0, the number of digital devices and their
produced data increases tremendously. Due to the heterogeneity of devices, the generated …

Knowledge graphs as enhancers of intelligent digital twins

N Sahlab, S Kamm, T Müller, N Jazdi… - 2021 4th IEEE …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems, characterized by networking capabilities and digital
representations, offer many promising potentials for industrial automation. In an attempt to …

J-Park Simulator: An ontology-based platform for cross-domain scenarios in process industry

A Eibeck, MQ Lim, M Kraft - Computers & Chemical Engineering, 2019 - Elsevier
Abstract The J-Park Simulator (JPS) acts as a continuously growing platform for integrating
real-time data, knowledge, models, and tools related to process industry. It aims at …

Ontology‐Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production

L Nagy, T Ruppert, J Abonyi - Complexity, 2021 - Wiley Online Library
Effective information management is critical for the development of manufacturing
processes. This paper aims to provide an overview of ontologies that can be utilized in …

Semantic data mining in ubiquitous sensing: A survey

GJ Nalepa, S Bobek, K Kutt, M Atzmueller - Sensors, 2021 - mdpi.com
Mining ubiquitous sensing data is important but also challenging, due to many factors, such
as heterogeneous large-scale data that is often at various levels of abstraction. This also …

Automated process knowledge graph construction from BPMN models

S Bachhofner, E Kiesling, K Revoredo, P Waibel… - … on Database and Expert …, 2022 - Springer
Enterprise knowledge graphs are increasingly adopted in industrial settings to integrate
heterogeneous systems and data landscapes. Manufacturing systems can benefit from …

Semantics for cyber-physical systems: A cross-domain perspective

M Sabou, S Biffl, A Einfalt, L Krammer… - Semantic …, 2020 - content.iospress.com
Modern life is increasingly made more comfortable, efficient, and sustainable by the smart
systems that surround us: smart buildings monitor and adjust temperature levels to achieve …

[PDF][PDF] A knowledge graph based integration approach for industry 4.0

I Grangel-González - 2019 - researchgate.net
The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …

Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings

A Rivas, I Grangel-González, D Collarana… - Database and Expert …, 2020 - Springer
Abstract Industry 4.0 (I4. 0) standards and standardization frameworks have been proposed
with the goal of empowering interoperability in smart factories. These standards enable the …

Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process

X Huang, C Yang, Y Zhang, S Lou, L Kong… - Advanced Engineering …, 2024 - Elsevier
Due to the widespread presence of knowledge in factories, integrating various types of
knowledge to solve different tasks in industrial production processes, including prediction …