Intro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Digitalization and Data Management -- 1.2 Semantic Interoperability -- 1.3 Semantic Assets and Metadata Categories -- 1.4 Perspective and Outline of the Book -- References -- 2 Research Data Infrastructures and Engineering Metadata -- 2.1 Engineering Metadata -- 2.1.1 How to Engineer Metadata -- 2.1.2 Metadata for Engineering: The EngMeta Metadata Scheme -- 2.2 Research Data Infrastructures -- 2.2.1 Requirements and Functions -- 2.2.2 Architectures -- 2.2.3 Examples of Research Data Infrastructures in Materials Modelling -- References -- 3 Marketplace-Level Domain Ontologies -- 3.1 Ontologies and Formal Notation -- 3.2 European Virtual Marketplace Framework -- 3.3 Modelling, Simulation and Computational Resources -- 3.4 Engineering Applications and Validation -- 3.5 Training and Communication -- References -- 4 Semantic Technology for Simulations and Molecular Particle-Based Methods -- 4.1 Brief Overview of Ontologies for Modelling and Simulation -- 4.1.1 Examples of Applications -- 4.2 Other Relevant Assets and Approaches -- 4.3 Software Capabilities -- 4.4 Variables and Functions -- 4.4.1 Simulation Variables vs Physical Properties -- 4.5 EngMeta and VIMMP Ontologies -- 4.6 Closing Thoughts -- References -- 5 Applications of the Metadata Standards -- 5.1 Representing Scenarios -- 5.2 Top-Level Ontology -- 5.3 Ontology Matching -- 5.4 VIMMP-EMMO Alignment -- 5.5 Documentation of Molecular Models -- References.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2022. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.