Digital twin (DT) technology allows the user to monitor the asset, specifically over the
operation and service phase of the life cycle, which is the longest-lasting phase for complex …

While large language models learn sound statistical representations of the language and
information therein, ontologies are symbolic knowledge representations that can …

The environmental pressure, CO2 emissions (including embodied energy) and delivery risks
of our digital infrastructures are increasing. The exponentially growing digitisation of …

In the materials design domain, much of the data from materials calculations is stored in
different heterogeneous databases with different data and access models. Therefore …

Ontologies are widely used in materials science to describe experiments, processes,
material properties, and experimental and computational workflows. Numerous online …

Crystalline materials, such as metals and semiconductors, nearly always contain a special
defect type called dislocation. This defect decisively determines many important material …

Applying historical human-readable databases to recent data-driven science is a natural
concept. However, this cannot be realized by simply converting a database into a tabular …

While large language models learn sound statistical representations of the language and
information therein, ontologies are symbolic knowledge representations that can …

Abstract The Semantic Web aims to make data on the web machine-readable by introducing
semantics to the data. Ontologies are one of the critical technologies in the Semantic Web …

Terahertz quantum cascade lasers (QCL) are semiconductor laser devices that operate in
the far infrared range (in the frequency range from about 100GHz to 10THz). Information …