A Knowledge Graph for Industry 4.0

被引：37

作者：

Bader, Sebastian R. ^{[1
,3
]}

Grangel-Gonzalez, Irlan ^{[2
]}

Nanjappa, Priyanka ^{[3
]}

Vidal, Maria-Esther ^{[4
]}

Maleshkova, Maria ^{[3
]}

机构：

[1] Fraunhofer IAIS, D-53757 St Augustin, Germany

[2] Corp Res Robert Bosch GmbH, Robert Bosch Campus 1, D-71272 Renningen, Germany

[3] Univ Bonn, Endenicher Allee 19a, D-53115 Bonn, Germany

[4] TIB Leibniz Informat Ctr Sci & Technol, Welfengarten 1, D-130167 Hannover, Germany

来源：

SEMANTIC WEB (ESWC 2020) | 2020年 / 12123卷

基金：

欧盟地平线“2020”;

关键词：

Industry; 4.0; Knowledge graph; Standards; Knowledge representation;

D O I：

10.1007/978-3-030-49461-2_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：465 / 480

页数：16

共 16 条

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[2]

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[9]

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[10]

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