Semantic embedding of knowledge graphs has been widely studied and used for prediction
and statistical analysis tasks across various domains such as Natural Language Processing …

Automating ontology construction and curation is an important but challenging task in
knowledge engineering and artificial intelligence. Prediction by machine learning …

Integrating deep learning techniques, particularly language models (LMs), with knowledge
representation techniques like ontologies has raised widespread attention, urging the need …

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 …

Abstract An Introduction to Ontology Engineering is a free online textbook that provides an
overview of ontology engineering, including logics and automated reasoning, methods and …

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

In the automotive industry, welding is a critical process of automated manufacturing and its
quality monitoring is important. IoT technologies behind automated factories enable …