The ongoing digital transformation has the potential to revolutionize nearly all industrial manufacturing processes. However, its concrete requirements and implications are still not sufficiently investigated. In order establish a common understanding, multitude of initiatives have published guidelines, reference frameworks specifications, intending promote their particular interpretation Industrial Internet Things (IIoT). As result inconsistent use terminology, heterogeneous structures...

The digital revolution affects every aspect of society and economy. In particular, the manufacturing industry faces a new age production processes connected collaboration. underlying ideas concepts, often also framed as “Internet Things”, transfer IT technologies to shop floor, entailing major challenges regarding heterogeneity domain. On other hand, web have already proven their value in distributed settings. SOLID (derived from “social linked data”) is recent approach decentralize data...

The industry and research efforts to standardize Industry 4.0 related developments have merged into an unmanageable amount of reference models, architectures specification activities. As these only been roughly coordinated, am incomprehensible confusing landscape occurred. These contradict the initial need for more clarity structure, especially as many different aspects are framed under same terminology. We contribute this challenge by providing a structured overview current state...

A central vision of the Internet Things is representation physical world in a consistent virtual environment. Especially context smart factories connection different, heterogeneous production modules through digital shop floor promises faster conversion rates, data-driven maintenance or automated machine configurations for use cases which haven't been recognized at design time. Nevertheless, these scenarios demand IoT representations all participating machines and components, requires high...

Service technicians in the domain of industrial maintenance require extensive technical knowledge and experience to complete their tasks. Some needed is made available as document-based manuals or reports from previous deployments. Unfortunately, due great amount data, service spend a considerable working time searching for correct information. Another challenge posed by fact that valuable insights operation are not yet considered insufficient textual quality content-wise ambiguity.

The increasing amount of publicly available data streams environmental observation stations opens up new opportunities: domain experts are provided with an extensive observations covering large areas high density sensors, which could hardly ever be by a single organization. However, these opportunities come at the cost challenges regarding trustworthiness and comparability such observations. In this paper, we address semantic validation enrichment heterogeneous exploiting collaboratively...

The disruptive potential of the upcoming digital transformations for industrial manufacturing domain have led to several reference frameworks and numerous standardization approaches. On other hand, Semantic Web community has made significant contributions in field, instance on data service description, integration heterogeneous sources devices, AI techniques distributed systems. These two streams work are, however, mostly unrelated only briefly regard each others requirements, practices...

A central vision of the Internet Things is representation physical world in a consistent virtual environment. Especially context smart factories connection different, heterogeneous production modules through digital shop floor promises faster conversion rates, data-driven maintenance or automated machine configurations for use cases, which have not been known at design time. Nevertheless, these scenarios demand IoT representations all participating machines and components, requires high...