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RESEARCH PAPER · Advanced Engineering Materials · 2022

A Perspective on Digital Knowledge Representation in Materials Science and Engineering

Bernd Bayerlein, Thomas Hanke, Thilo Muth, Jens Riedel, Markus Schilling, Christoph Schweizer, Birgit Skrotzki, Alexandru Todor, Benjamí Moreno Torres, Jörg F. Unger, Christoph Völker, Jürgen Olbricht

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A Perspective on Digital Knowledge Representation in Materials Science and EngineeringOriginalOntopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing20Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework2Review and Alignment of Domain-Level Ontologies for Materials Science28The laboratory of Babel: highlighting community needs for integrated materials data management20The Intersection Between Semantic Web and Materials Science20Recent developments towards digital concrete2Toward a digital materials mechanical testing lab17Wissensbasierte Digitalisierung von betontechnologischen Materialdaten1PMD Core Ontology: Achieving semantic interoperability in materials science71Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique2Werkstoffsysteme mit Zukunft0Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing8FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing20Ontology-Oriented Modeling of the Vickers Hardness Knowledge Graph5Semantic integration of diverse data in materials science: Assessing Orowan strengthening14Semantic Representation of Low‐Cycle‐Fatigue Testing Data Using a Fatigue Test Ontology and ckan.kupferdigital Data Management System5Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor4Mechanical testing dataset of cast copper alloys for the purpose of digitalization3Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review9Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs8Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control14Natural Language Processing-Driven Microscopy Ontology Development6Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation6Digitalizing Material Knowledge: A Practical Framework for Ontology-Driven Knowledge Graphs in Process Chains12Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science11Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications13Composition-property extrapolation for compositionally complex solid solutions based on word embeddings4Designing Data-Centric Study Protocols Guided by FAIR Principles1Management of reference data in materials science and engineering exemplified for creep data of a single-crystalline Ni-based superalloy7Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative18Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development11Machine learning approaches for intentional materials engineering5Microstructure classification and the polycrystalline microstructure state space2Mechanical properties of 3D printed concrete: a RILEM TC 304-ADC interlaboratory study-Design and implementation of a database system for querying, sharing, and analyzing experimental data16Toward standardized, AI-driven multi-modal battery characterization: a review of neutron and synchrotron strategies across scales3NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering1Artificial intelligence-assisted non-metallic inclusion particle analysis in advanced steels using machine learning: A review6From Data to Discovery: Challenges and Solutions in AI-Driven Materials Science0Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties1The PRIMA Thesaurus for Materials Science and Engineering0

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  2. Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework

    Communications in computer and information science · 2023-01-01

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  3. Review and Alignment of Domain-Level Ontologies for Materials Science

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  4. The laboratory of Babel: highlighting community needs for integrated materials data management

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  5. The Intersection Between Semantic Web and Materials Science

    Advanced Intelligent Systems · 2023-05-14

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  6. Recent developments towards digital concrete

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  7. Toward a digital materials mechanical testing lab

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  8. Wissensbasierte Digitalisierung von betontechnologischen Materialdaten

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  10. Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique

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  12. Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing

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  13. FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

    Advanced Engineering Materials · 2024-03-22

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  14. Ontology-Oriented Modeling of the Vickers Hardness Knowledge Graph

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  15. Semantic integration of diverse data in materials science: Assessing Orowan strengthening

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  16. Semantic Representation of Low‐Cycle‐Fatigue Testing Data Using a Fatigue Test Ontology and ckan.kupferdigital Data Management System

    Advanced Engineering Materials · 2024-06-10

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  17. Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

    Advanced Engineering Materials · 2024-06-20

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  18. Mechanical testing dataset of cast copper alloys for the purpose of digitalization

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  19. Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review

    International Journal of Computer Integrated Manufacturing · 2024-08-14

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  20. Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs

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  21. Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control

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  22. Natural Language Processing-Driven Microscopy Ontology Development

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  23. Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

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  24. Digitalizing Material Knowledge: A Practical Framework for Ontology-Driven Knowledge Graphs in Process Chains

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