Digital twins (DTs) are a powerful mechanism for representing complex industrial assets
such as oil platforms as digital models. These models can facilitate temporal analyses and …

Abstract Prognostics and Health Management (PHM) approaches aim to intervene in the
equipment of production systems before faults occur. To properly implement a PHM system …

Streaming analytics that requires integration and aggregation of heterogeneous and
distributed streaming and static data is a typical task in many industrial scenarios including …

Constraints have traditionally been used to ensure data quality. Recently, several constraint
languages such as SHACL, as well as mechanisms for constraint validation, have been …

Smart factories are one of the biggest trends in modern manufacturing, also known as
Industry 4.0. They reach a new level of process automation and make heavy use of sensors …

Data analysis-based decision-making is performed daily by domain experts. As data grows
in size and heterogeneity, accessing relevant data becomes challenging. In an Ontology …

Ontologies are a powerful mechanism to structure domains of interest. They have
successfully been applied in medical domain, industry and other important areas. Despite …

Analytical workflows are heavily used in large and data intensive companies. An important
application of such workflows in Siemens is equipment analytics when equipment KPIs and …