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  4. A Knowledge Graph for Industry 4.0
 
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2020
Conference Paper
Title

A Knowledge Graph for Industry 4.0

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.
Author(s)
Bader, Sebastian R.  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Grangel-González, Irlán  
Robert-Bosch GmbH, Renningen/Germany
Nanjappa, Priyanka
Universität Bonn/Germany
Vidal, Maria-Esther  
TIB Leibniz Information Centre for Science and Technology, Hannover/Germany
Maleshkova, Maria
Universität Bonn/Germany
Mainwork
The Semantic Web. 17th International Conference, ESWC 2020. Proceedings  
Project(s)
InDaSpacePlus
BOOST4.0
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
European Commission EC  
Conference
Extended Semantic Web Conference (ESWC) 2020  
DOI
10.24406/publica-r-408603
10.1007/978-3-030-49461-2_27
File(s)
N-596043.pdf (1.23 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • industry 4.0

  • knowledge graph

  • standards

  • knowledge representation

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