Abstract
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 mereosemiotics are compared, and the design space consisting of the possible types of top-level ontologies following this paradigm is characterized.
Highlights
Semantic interoperability is the ability of multiple parties to exchange information with a well-defined, mutually agreed meaning
The present work explores how top-level ontologies that are based on the same paradigm – the same set of fundamental postulates – as the European Materials and Modelling Ontology (EMMO) can be applied to models of physical systems and their use in computational engineering practice
Multiple conceivable ways of implementing mereosemiotics are compared, and the design space consisting of the possible types of top-level ontologies following this paradigm is characterized
Summary
Semantic interoperability is the ability of multiple parties to exchange information with a well-defined, mutually agreed meaning. Todorov inevitable to connect a variety of components to each other reliably, a single file format often emerges as a de facto standard, delivering syntactic interoperability; in all other cases, even when there are only two formats between which a conversion becomes necessary, it is unavoidable to map them to each other in a way that is either implicitly or explictly grounded in shared semantics Making this explicit requires more work, but delivers solutions that are more robust and easy to extend to a greater number of parties. The present work deals with the ontological task of characterizing what models and simulations are and how to describe this formally in a coherent way at an abstract level [8] It is structured as follows: In Section 2, those aspects from the approach of the EMMO are isolated that are most fundamental and can be seen as constituting a philosophical or ontological paradigm, here called mereosemiotics.
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