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arXiv 2003.113702020-03cs.AI

Semantic interoperability based on the European Materials and Modelling Ontology and its ontological paradigm: Mereosemiotics

High Performance Computing Center Stuttgart（斯图加特高性能计算中心）；UK Research and Innovation（英国研究与创新署）；STFC Daresbury Laboratory（STFC达斯伯里实验室）

Martin Thomas Horsch, Silvia Chiacchiera, Björn Schembera, Michael A. Seaton, Ilian T. Todorov

备注：: The co-authors M.T.H. and B.S. acknowledge funding from the German Research Foundation (DFG) through the National Research Data Infrastructure for Catalysis-Related Sciences (NFDI4Cat) within the National Research Data Infrastructure (NFDI) programme of the Joint Science Conference (GWK)
DOI：: 10.5281/zenodo.3902900

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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.

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