Semantic web and knowledge graphs for industry 4.0
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 …
gaining popularity, while presenting several technical challenges being tackled by both the …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
Enhancing industry 4.0 standards interoperability via knowledge graphs with natural language processing
Abstract Industry 4.0 (I4. 0) has brought several challenges related to the need to acquire
and integrate large amounts of data from multiple sources in order to integrate these …
and integrate large amounts of data from multiple sources in order to integrate these …
An ontology-based, general-purpose and Industry 4.0-ready architecture for supporting the smart operator (Part I–Mixed reality case)
The advent of novel industry 4.0-driven technologies is offering significant opportunities to
manufacturing systems, but at the same time it is posing new great challenges. The growing …
manufacturing systems, but at the same time it is posing new great challenges. The growing …
Knowledge-graph-based multi-domain model integration method for digital-twin workshops
X Wang, X Hu, Z Ren, T Tian, J Wan - The International Journal of …, 2023 - Springer
The digital twin workshop is a new workshop operation paradigm that enables precise
decision-making by fusing virtual and physical space. As a complex manufacturing system …
decision-making by fusing virtual and physical space. As a complex manufacturing system …
Semantic modeling, development and evaluation for the resistance spot welding industry
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 …
profound changes towards increasing smart automation, particularly in the industrial sectors …
Root cause analysis in the industrial domain using knowledge graphs: a case study on power transformers
J Martinez-Gil, G Buchgeher, D Gabauer… - Procedia Computer …, 2022 - Elsevier
In the industrial domain, developing solutions that allow the identification, understanding,
and correction of faults is essential due to the cost of handling such situations. However, to …
and correction of faults is essential due to the cost of handling such situations. However, to …
A semantic web approach to fault tolerant autonomous manufacturing
The next phase of manufacturing is centered on making the switch from traditional
automated to autonomous systems. Future factories are required to be agile, allowing for …
automated to autonomous systems. Future factories are required to be agile, allowing for …
A benchmark dataset with Knowledge Graph generation for Industry 4.0 production lines
Abstract Industry 4.0 (I4. 0) is a new era in the industrial revolution that emphasizes machine
connectivity, automation, and data analytics. The I4. 0 pillars such as autonomous robots …
connectivity, automation, and data analytics. The I4. 0 pillars such as autonomous robots …