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A Knowledge Graph for Industry 4.0

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 insta...

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Detalles Bibliográficos
Autores principales: Bader, Sebastian R., Grangel-Gonzalez, Irlan, Nanjappa, Priyanka, Vidal, Maria-Esther, Maleshkova, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250593/
http://dx.doi.org/10.1007/978-3-030-49461-2_27
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author Bader, Sebastian R.
Grangel-Gonzalez, Irlan
Nanjappa, Priyanka
Vidal, Maria-Esther
Maleshkova, Maria
author_facet Bader, Sebastian R.
Grangel-Gonzalez, Irlan
Nanjappa, Priyanka
Vidal, Maria-Esther
Maleshkova, Maria
author_sort Bader, Sebastian R.
collection PubMed
description 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.
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spelling pubmed-72505932020-05-27 A Knowledge Graph for Industry 4.0 Bader, Sebastian R. Grangel-Gonzalez, Irlan Nanjappa, Priyanka Vidal, Maria-Esther Maleshkova, Maria The Semantic Web Article 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. 2020-05-07 /pmc/articles/PMC7250593/ http://dx.doi.org/10.1007/978-3-030-49461-2_27 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Bader, Sebastian R.
Grangel-Gonzalez, Irlan
Nanjappa, Priyanka
Vidal, Maria-Esther
Maleshkova, Maria
A Knowledge Graph for Industry 4.0
title A Knowledge Graph for Industry 4.0
title_full A Knowledge Graph for Industry 4.0
title_fullStr A Knowledge Graph for Industry 4.0
title_full_unstemmed A Knowledge Graph for Industry 4.0
title_short A Knowledge Graph for Industry 4.0
title_sort knowledge graph for industry 4.0
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250593/
http://dx.doi.org/10.1007/978-3-030-49461-2_27
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