Name
Abstract | ||
|---|---|---|
The industry and research efforts to standardize Industry 4.0 related developments have merged into an unmanageable amount of reference models, architectures and specification activities. As these efforts have only been roughly coordinated, am incomprehensible and confusing landscape occurred. These developments contradict the initial need for more clarity and structure, especially as many different aspects are framed under the same terminology. We contribute to this challenge by providing a structured overview of the current state of standardization. We create a graphical landscape of Industry 4.0 specifications and standards based on an integrated knowledge graph. Various views provide different illustrations for several information needs. Explicitly stated relations between Industry 4.0 frameworks and technical standards enable the flexible discovery of related information. In addition, we use machine inference techniques to add new links and to further extend the knowledge graph. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ETFA.2019.8869268 | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Keywords | Field | DocType |
Industry 4.0,standardization,digital manufacturing,knowledge graphs,visualization | Data science,Ontology (information science),Information needs,CLARITY,Control engineering,Engineering,Structuring,Standardization,Industry 4.0,Technical standard,RDF | Conference |
ISSN | ISBN | Citations |
1946-0740 | 978-1-7281-0304-4 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Bader | 1 | 51 | 14.66 |
| Irlán Grangel-González | 2 | 1 | 0.35 |
| Mayesha Tasnim | 3 | 1 | 0.35 |
| Steffen Lohmann | 4 | 629 | 65.25 |