The dramatic increase in the use of knowledge discovery applications requires end users to
write complex database search requests to retrieve information. Such users are not only …

Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …

Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

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 …

Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …

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 …

An important application of semantic technologies in industry has been the formalisation of
information models using OWL 2 ontologies and the use of RDF for storing and exchanging …

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 …

We advocate datalogMTL, a datalog extension of a Horn fragment of the metric temporal
logic MTL, as a language for ontology-based access to temporal log data. We show that …

The main purpose of this paper is to provide a theoretically grounded discussion on big data
mining for customer insights, as well as to identify and describe a research gap due to the …