Abstract Ontology Based Data Access (OBDA) is a prominent approach to query databases
which uses an ontology to expose data in a conceptually clear manner by abstracting away …

We present a description and analysis of the data access challenge in Siemens Energy. We
advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven …

This paper describes the outcomes of an ongoing collaboration between Siemens and the
University of Oxford, with the goal of facilitating the design of ontologies and their …

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 …

Today, smart city applications are largely based on data collected from different
stakeholders. This presupposes that the required data sources are publicly available. While …

Abstract An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment
such as trains and power generating turbines that collect and share large amounts of data …

Real-time analytics that requires integration and aggregation of heterogeneous and
distributed streaming and static data is a typical task in many industrial scenarios such as …

Industrial rule-based diagnostic systems are often data-dependant in the sense that they rely
on specific characteristics of individual pieces of equipment. This dependence poses …

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

This PhD project proposes the theoretical and technological foundations of an approach for
decentralized processing of streaming knowledge graphs, where autonomous reasoners …