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The Creative Commons Rights Expression Language (CC REL) lets you describe copyright licenses in RDF @en
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The ontology of agent relationships, AgRelOn, defines relations of persons to other persons and to organisations @en
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The DNB RDF Vocabulary (dnb:) is a collection of classes, properties and datatypes used within the DNB's linked data service.It complements the GND Ontology (gndo:) which is specifically geared towards authority data from the Integrated Authority File (GND), whereas this vocabulary is more general-purpose. @en
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The Cochrane Core ontology describes the entities and concepts that exist in the domain of evidence based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and clinical Outcomes. @en
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The PICO ontology provides a machine accessible version of the PICO framework. It essentially provides a model for describing evidence in a consistent way. The model allows the specifying of complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. As a leader in the field of evidence based healthcare Cochrane uses the PICO model when framing and publishing evidence based questions. The PICO model is widely adopted for describing healthcare evidence, furthermore is equally applicable in other evidence-based domains. It essentially provides a model for describing evidence in a consistent way. @en
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The EUropean Research Information Ontology (EURIO) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. @en
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The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific. @en
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orca, the Ontology of Reasoning, Certainty and Attribution, is an ontology for characterizing the certainty of information, how it is known, and its source @en
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The Vocabulary of Interlinked Datasets (VoID) is an RDF Schema vocabulary for expressing metadata about RDF datasets. @en
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The Actor module of CEON (Circular Economy Ontology Network). @en
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A core ODP of the CEON ontology network, defining aspects of the actor concept. @en
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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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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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The system ontology of Wikibase @en