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A Knowledge Graph for Industry 4.0

Publication date
2020-05-27
Document type
Konferenzbeitrag
Author
Bader, Sebastian R.
Grangel-Gonzalez, Irlan
Nanjappa, Priyanka
Vidal, Maria-Esther
Maleshkova, Maria 
Organisational unit
University of Bonn
DOI
10.1007/978-3-030-49461-2_27
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/16540
ISBN
9783030494612
ISSN
1611-3349
Conference
7th International Conference, ESWC 2020 : Heraklion, Crete, Greece, May 31–June 4, 2020
Series or journal
Lecture Notes in Computer Science
Periodical volume
12123
Book title
The Semantic Web : 17th International Conference, ESWC 2020 : Heraklion, Crete, Greece, May 31–June 4, 2020 Proceedings
First page
465
Last page
480
Part of the university bibliography
Nein
  • Additional Information
Keyword
Industry 4.0
Knowledge graph
Knowledge representation
Standards
Abstract
One of the most crucial tasks for today’s knowledge workers is to get and retain a thorough overview on the latest state of the art. Especially in dynamic and evolving domains, the amount of relevant sources is constantly increasing, updating and overruling previous methods and approaches. For instance, the digital transformation of manufacturing systems, called Industry 4.0, currently faces an overwhelming amount of standardization efforts and reference initiatives, resulting in a sophisticated information environment. We propose a structured dataset in the form of a semantically annotated knowledge graph for Industry 4.0 related standards, norms and reference frameworks. The graph provides a Linked Data-conform collection of annotated, classified reference guidelines supporting newcomers and experts alike in understanding how to implement Industry 4.0 systems. We illustrate the suitability of the graph for various use cases, its already existing applications, present the maintenance process and evaluate its quality. © Springer Nature Switzerland AG 2020.
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Published version
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