Industrial information integration engineering (IIIE) is a set of foundational concepts and
techniques that facilitate the industrial information integration process. In recent years, many …

During the last two decades, profound technological changes have taken place around us,
supported by disruptive advances, both on the software and hardware sides. An …

The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to
indicate its fitness for use in an application. Several quality dimensions are identified, such …

Safety management determines and implements safety policy. It is closely intertwined with
industrial development. As the Fourth Industrial Revolution, Industry 4.0 presents new …

In China, small and medium enterprises (SME) contribute to more than 75% of urban
employment opportunities and more than 50% national fiscal revenue. This study uses …

Abstract Cyber-physical systems (CPS), such as collaborative robots, smart cities, and
autonomous vehicles, are seen as decisive contributions to addressing many societal …

From the perspective of intelligent manufacturing, combined with cyber‐physical system, big
data, Internet of things, cloud computing, industrial transformation and value chain concepts …

Definition Data Quality is, in essence, understood as the degree to which the data of interest
satisfies the requirements, is free of flaws, and is suited for the intended purpose. Data …

Purpose Numerous data quality (DQ) definitions in the form of sets of DQ dimensions are
found in the literature. The great differences across such DQ classifications (DQCs) imply a …

Data quality management (DQM) is one of the most critical aspects to ensure successful
applications of the Internet of Things (IoT). So far, most of the approaches for assuring data …