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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 ontology of the taxonomy "European Skills, Competences, qualifications and Occupations". The ontology considers three ESCO pillars (or taxonomy) and 2 registers. The three pillars are: - Occupation - Skill (and competences) - Qualification For the construction and use of the ESCO pillars, the following modelling artefacts are used: - Facetting support to specialize ESCO pillar concepts based on bussiness relevant Concept Groups (e.g. species, languages, ...) - Conept Groups, Thesaurus array and Compound terms (as detailed in ISO 25964) to organize faceted concepts - SKOS mapping properties to relate ESCO pillar concepts to concepts in other (external) taxonomies (e.g. FoET, ISCO88 and ISCO08. More mappings can be added in the future.) - Tagging ESCO pillar concepts by other (external) taxonomies (NUTS, EQF, NACE, ...) - Capture gender specifics on the labels of the ESCO pillar concepts - Rich ESCO concept relationships holding a description and other specific characteristics of the relation between two ESCO pillar concepts. ESCO maintains two additional registers: - Awarding Body - Work Context Awarding Bodies typically are referenced by ESCO qualifications. Occupations can have one or more work context. @en
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This vocabulary describes the contact points of the postal agencies network in France. @en
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The Vocabulary of Dataset Publication Projects (VDPP) allows to represent the status of a dataset publication project. It is mainly based on the Provenance Vocabulary (PRV), the Dataset Provenance Vocabulary (VOIDP), the Vocabulary of Interlinked Datasets (VoID), and the Description of a Project (DOAP) vocabulary. @en
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Ontology for public services and organizations @en
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The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @en
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The DBpedia ontology provides the classes and properties used in the DBpedia data set. @en
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Person ontology in Dutch @en
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An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - DQ Package @en
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Erlangen CRM / OWL - An OWL DL 1.0 implementation of the CIDOC Conceptual Reference Model, based on: Nick Crofts, Martin Doerr, Tony Gill, Stephen Stead, Matthew Stiff (eds.): Definition of the CIDOC Conceptual Reference Model (http://cidoc-crm.org/). This implementation has been originally created by Bernhard Schiemann, Martin Oischinger and Günther Görz at the Friedrich-Alexander-University of Erlangen-Nuremberg, Department of Computer Science, Chair of Computer Science 8 (Artificial Intelligence) in cooperation with the Department of Museum Informatics of the Germanisches Nationalmuseum Nuremberg and the Department of Biodiversity Informatics of the Zoologisches Forschungsmuseum Alexander Koenig Bonn. The Erlangen CRM / OWL implementation of the CIDOC Conceptual Reference Model is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. @en
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The Genealogisches Orts-Verzeichnis (GOV) contains information about current and historical political, ecclesiastical and legal administrative affiliations of settlements and administrative units. In addition several time-dependent values (such as names, population numbers, postal codes etc.) are given. @en
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R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The Cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology. The namespace for all R4R terms is http://guava.iis.sinica.edu.tw/r4r/ @en
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The Knowledge Diversity Ontology aims at providing a vocabulary that describes different dimensions of knowledge diversity of the Web. To support the representation of diversity information, the conceptual model of the Knowledge Diversity Ontology includes concepts and relations that were identified and modelled by focusing on real world scenarios in context of customer feedback, news, and Wikipedia opinion mining as well as content and sentiment analysis. @en
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This ontology offers OWL-Lite definition for object list. It is a restricted version of OWL-S ObjectList @en