Today's industrial production plants are complex mechatronic systems. In the course of the
production plant lifecycle, engineers from a variety of disciplines (eg, mechanics, electronics …

With the rise of the Internet of Things and Industry 4.0, the number of digital devices and their
produced data increases tremendously. Due to the heterogeneity of devices, the generated …

Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine
learning and particularly in deep learning enable qualitative change within the industrial …

In the parallel engineering of industrial production systems, domain experts from several
disciplines need to exchange data efficiently to prevent the divergence of local engineering …

The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …

Abstract Cyber-Physical Systems (CPSs) are engineered systems that result from the
integration of both physical and computational components designed from different …

The rapid growth of data in the pharmaceutical area has created new challenges for large-
scale data mining like Drug-Drug Interaction (DDI) analysis. To meet these challenges …

Manufacturing industry needs access to the data in order to realise its activities but also to
generate new value-added knowledge. Nevertheless, it is confronted with a large and …

In the parallel engineering of large and long-running automation systems, such as
Production Systems Engineering (PSE) projects, engineering teams with different …

In traditional production plants, current technologies do not provide sufficient context to
support information integration and interpretation. Digital transformation technologies have …