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The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
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The Battery Testing Ontology (BTO) is an application-level ontology belonging to EMMO's ecosystem, meant to model battery testing methodologies and techniques, like the partial discharge test. BTO is connected and aligned with a number of EMMO-based ontologies, including CHAMEO, Battery Domain Ontology and Electrochemistry. @en
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An ontology to capture the staggering diversity of polymeric materials and their applications. @en
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The MarketPlace Agent and Expert Ontology (MAEO) is an ontology for modeling experts, expertise, and more broadly, knowledge providers and knowledge seekers for the subject areas of Materials Modeling. MAEO is an EMMO-compliant application ontology, and has been loosely aligned with a number of existing ontologies, including Friend-Of-A-Friend (FOAF) and five recently-developed EMMO-based domain ontologies for the classification of materials, models, manufacturing processes, characterization methods and software products related to Materials Modeling. @en
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The Internet of Construction Ontology (IoC) construction process ontology is intended to represent a comprehensive solution of how processes in the construction industry can be modelled. Due to the iterative nature of creating an ontology, the construction process ontology presented here can at best be considered a working state at the time of publication. Our approach emphasizes the simplest and most comprehensive mapping possible, which is only extended based on insights from practical use when otherwise compelling limitations in usability and applicability arise. Thus, the extension and refinement of the developed construction process ontology strongly depends on the integration of further areas of the construction value chain and the connection of further domain ontologies. @en
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This ontology aims to model generic Medical Data Acquisition Instruments, which can be interoperable across different clinical data management systems. The ontology is developed in the context of the MedRed project (https://www.hevs.ch/en/rad-institutes/institute-of-information-systems/projects/medical-research-data-acquisition-platform-14092) @en
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m4i- Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.Metadata4Ing defines classes and properties or reuses such classes and properties from other ontologies to describe research processes and research data management in NFDI4Ing. New concepts and properties are located in the namespace of Metadata4Ing. Metadata4Ing does not import complete ontologies for the sake of relevance, readability, understandability and usability by and for engineers. Instead, it tries to make re-use of existing identifiers for classes and properties by re-using all or a relevant subset of the axioms from the original ontology. These statements have been extracted in different ways, e.g. by using Protégé tools importing an ontology and copying axioms of relevant items to Metadata4Ing or by download from data services or raw files of ontologies and manual copypasting. In some cases there was a need to extend or modify the original set of statements about an entity, e.g. because labels and definitions were expressed with a different owl:AnnotationProperty than the rest of Metadata4Ing, or because a skos:preflabel or a skos:definition in any of the languages we would like to support was missing. Any editorial changes on elements from external ontologies are declared in Metadata4Ing by an annotation with skos:editorialNote at item-level. To get the original set of statements we encourage to visit the original namespace of the respective item. Metadata4Ing reuses elements from the following ontologies: - BIBO = Bibliographic Ontology - BIRO = Bibliographic Reference Ontology - DCAT = Data Catalog - DCTERMS = Dublin Core Terms - FOAF = Friend of a Friend - OWL = Web Ontology Language - PROV = Provenance Namespace - QUDT = Quantities, Units, Dimensions and Types - RDF = Resource Description Framework - RDFS = RDF Schema - SCHEMA = schema.org - SKOS = Simple Knowledge Organization System - SSN = Semantic Sensor Network Ontology - VANN = Vocabulary for Annotating vocabulary descriptions - XSD = XML Schema Definition - EMMO = European Materials and Modelling Ontology - BFO = Basic Formal Ontology - RO = Relation Ontology - PIMS-II = PIMS Interoperability Infrastructure - D-SI = Digital System of Units @en
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RML module to generate RDF collections and containers @en
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Generic Mapping Language for RDF (RDB/CSV/TSV/XML/JSON/... to RDF) - Vocabulary description @en
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RML-FNML provides data transformations for generating knowledge graphs from (semi-)structured data @en
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RML-IO enables the description of input data sources and target output data serialization @en
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RML module for generating RDF-star graphs @en
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An ontology to address the Research Management of the CRUE's Spanish University System (Sistema Universitario Español) by applying an encompassing model not only capable of addressing the universities of the CRUE but also more belonging to the European Union. @en
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This ontology aims to model RDF streams, their metadata, and access endpoints for publishing and consuming these streams @en
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An ontology to represent MITRE ATT & CK. This ontology is developed based on the MITRE ATT & CK (https://attack.mitre.org/) @en