Data Technology in Materials Modelling.
| Main Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing AG,
2021.
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| Edition: | 1st ed. |
| Series: | SpringerBriefs in Applied Sciences and Technology Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- 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.