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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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. |
format | Online Article Text |
id | pubmed-7250593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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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