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, cl...
International audienceThis article discusses the importance of data and knowledge structuring to all...
Academia and industry share a complex, multifaceted, and symbiotic relationship. Analyzing the knowl...
In the context of Industry 4.0 [1] and Internet of Things (IoT) [2], modern manufacturing and produc...
Industry 4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of emp...
Realizing smart factories according to the Industry 4.0 vision requires intelligent human-to-machine...
Digital sensing technologies are essential for realizing Industry 4.0, as they enhance productivity,...
A benchmark dataset for knowledge graph generation in Industry 4.0 production lines and to show the ...
Cyber-physical production systems are constituted of various sub-systems in a production environment...
Industry 4.0 (I4.0) has brought several challenges related to the need to acquire and integrate larg...
Abstract Cyber-physical production systems are constituted of various sub-systems in a production e...
A series of tutorials designed to introduce the use of knowledge graphs to an industrial environment...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Automatic knowledge graph (KG) construction is widely used in industry for data integration and acce...
Academia and industry are constantly engaged in a joint effort for producing scientific knowledge th...
International audienceThis article discusses the importance of data and knowledge structuring to all...
Academia and industry share a complex, multifaceted, and symbiotic relationship. Analyzing the knowl...
In the context of Industry 4.0 [1] and Internet of Things (IoT) [2], modern manufacturing and produc...
Industry 4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of emp...
Realizing smart factories according to the Industry 4.0 vision requires intelligent human-to-machine...
Digital sensing technologies are essential for realizing Industry 4.0, as they enhance productivity,...
A benchmark dataset for knowledge graph generation in Industry 4.0 production lines and to show the ...
Cyber-physical production systems are constituted of various sub-systems in a production environment...
Industry 4.0 (I4.0) has brought several challenges related to the need to acquire and integrate larg...
Abstract Cyber-physical production systems are constituted of various sub-systems in a production e...
A series of tutorials designed to introduce the use of knowledge graphs to an industrial environment...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Automatic knowledge graph (KG) construction is widely used in industry for data integration and acce...
Academia and industry are constantly engaged in a joint effort for producing scientific knowledge th...
International audienceThis article discusses the importance of data and knowledge structuring to all...
Academia and industry share a complex, multifaceted, and symbiotic relationship. Analyzing the knowl...
In the context of Industry 4.0 [1] and Internet of Things (IoT) [2], modern manufacturing and produc...