Analyzing a Knowledge Graph of Industry4.0 Standards
Irlan Grangel-Gonzalez, Maria-Esther Vidal

TL;DR
This paper presents a knowledge-driven approach to model and analyze Industry 4.0 standards within a comprehensive knowledge graph, enhancing interoperability and revealing implicit relations among standards.
Contribution
The paper introduces the I40KG, a novel knowledge graph integrating over 200 standards and frameworks, with automated reasoning to uncover implicit relations and improve semantic interoperability.
Findings
Connectivity in the knowledge graph increased by up to 80% due to reasoning and linking.
Up to 96% of the discovered relations were validated for accuracy.
The approach supports resolving semantic conflicts in Industry 4.0 standards.
Abstract
In this article, we tackle the problem of standard interoperability across different standardization frameworks, and devise a knowledge-driven approach that allows for the description of standards and standardization frameworks into an Industry 4.0 knowledge graph (I40KG). The STO ontology represents properties of standards and standardization frameworks, as well as relationships among them. The I40KG integrates more than 200 standards and four standardization frameworks. To populate the I40KG, the landscape of standards has been analyzed from a semantic perspective and the resulting I40KG represents knowledge expressed in more than 200 industrial related documents including technical reports, research articles, and white papers. Additionally, the I40KG has been linked to existing knowledge graphs and an automated reasoning has been implemented to reveal implicit relations between…
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Taxonomy
TopicsDigital Transformation in Industry
