The European Materials and Modelling Ontology (EMMO) has recently been advanced in the computational molecular engineering and multiscale modelling communities as a top-level ontology, aiming to support semantic interoperability and data integration solutions, e.g., for research data infrastructures. The present work explores how top-level ontologies that are based on the same paradigm - the same set of fundamental postulates - as the EMMO can be applied to models of physical systems and their use in computational engineering practice. This paradigm, which combines mereology (in its extension as mereotopology) and semiotics (following Peirce's approach), is here referred to as mereosemiotics. Multiple conceivable ways of implementing mereos...
We analyse the construction as well as the role of ontologies in knowledge sharing and reuse for com...
The enormous amount of materials data currently generated by high throughput experiments and computa...
By introducing a common representational system for metadata that describe the employed simulation w...
For descriptions of cognitive processes, including process models for research data provenance and s...
It is explored how physicalist mereotopology and Peircean semiotics can be applied to represent mode...
Materials modelling is understood to include science based predictive methods describing any type of...
none6siThe poster shows the ongoing effort to create an ontology for materials modelling; pave the r...
It is explored how foundational ontologies based on physicalist materialism, nominalism, and Peircea...
The marketplace-level domain ontologies from the Virtual Materials Marketplace (VIMMP) project are p...
Pragmatic interoperability between platforms and service-oriented architectures exists whenever ther...
Borgo and Kutz recently formulated five benchmark cases for comparing foundational ontologies, which...
We analyse the construction as well as the role of ontologies in knowledge sharing and reuse for com...
The enormous amount of materials data currently generated by high throughput experiments and computa...
By introducing a common representational system for metadata that describe the employed simulation w...
For descriptions of cognitive processes, including process models for research data provenance and s...
It is explored how physicalist mereotopology and Peircean semiotics can be applied to represent mode...
Materials modelling is understood to include science based predictive methods describing any type of...
none6siThe poster shows the ongoing effort to create an ontology for materials modelling; pave the r...
It is explored how foundational ontologies based on physicalist materialism, nominalism, and Peircea...
The marketplace-level domain ontologies from the Virtual Materials Marketplace (VIMMP) project are p...
Pragmatic interoperability between platforms and service-oriented architectures exists whenever ther...
Borgo and Kutz recently formulated five benchmark cases for comparing foundational ontologies, which...
We analyse the construction as well as the role of ontologies in knowledge sharing and reuse for com...
The enormous amount of materials data currently generated by high throughput experiments and computa...
By introducing a common representational system for metadata that describe the employed simulation w...