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  • The EduProgression ontology formalizes the educational progressions of the French educational system, making possible to represent the existing progressions in a standard formal model, searchable and understandable by machines (OWL). @en
  • Global City Indicator Foundation Ontology developed by the Information Engineering Group, Mechanical & Industrial Engineering, University of Toronto. Contains the foundation ontologies required to represent ISO 37120 city indicators, including Placenames, Time, Measurement, Provenance, Statistics, Validity and Trust. See: Fox, M.S., (2013), "A Foundation Ontology for Global City Indicators", Global City Institute Working Paper, Vol. 1, No.4, pp. 1-45. Global Cities Institute, University of Toronto. Updated 24 June 2014: http://www.eil. Based on the Global City Indicators Facility, University of Toronto: http://www.cityindicators.org/Deliverables/Core%20and%20Supporting%20Indicators%20Table%20SEPTEMBER%202011.pdf. Contact: Mark S. Fox, msf@eil.utoronto.ca @en
  • ISO 37120 – Sustainable Development and Resilience of Communities – Indicators for City Services and Quality of Life (under TC268) http://ontology.eil.utoronto.ca/ISO37120.html This OWL file defines a class for each indicator defined in the ISO 37120 standard. Names for each indicator are provided. Text definitions are provided only for Economy, Education and Energy indicators, due to copyright restrictions imposed by ISO. This file is meant to provide a single URI for each indicator. An ontology for representing an indicator's supporting data plus meta information such as provenance, validity and trust can be found in: http://ontology.eil.utoronto.ca/GCI/Foundation/GCI-Foundation.owl Documentation of the ontology can be found in: http://eil.utoronto.ca/smartcities/papers/GCI-Foundation-Ontology.pdf @en
  • Open 311 Ontology This ontology generalizes the concepts that appear in 311 open data files published by several cities (Toronto, New York, Chicago, Vancouver) across North America. It provides a generis representation of 311 data that other cities can map their data onto and be used as a means of achieving interoperability. @en
  • This ontology defines concepts related to federation of internet infrastructures. @en
  • 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
  • FRAPO, the Funding, Research Administration and Projects Ontology, is a CERIF-compliant ontology written in OWL 2 DL for describing research project administrative information. @en
  • This is a vocabulary for modeling jobs offer in Spain. @en
  • An ontology to describe competences and human capabilities @en
  • A vocabulary for the Social and Solidarity Economy (SSE). This vocabulary is designed to be used in combination with the metadata schemes/vocabularies/ontologies: dcterms, good relations, foaf, vcard, organization and schema.org - this is defined in the Dublin Core Application Profile of the SSE. Developed by the ESSGlobal group of the Intercontinental Network for Promoting the Social and Solidarity Economy (RIPESS) Organisation. @en
  • Ontology for healthcare metadata - especially metadata found in DICOM files (Digital Imaging and Communications in Medicine, see http://dicom.nema.org/). Author: Michael Brunnbauer, Bonubase GmbH (www.bonubase.com). The author's email address is brunni@netestate.de. See http://purl.org/healthcarevocab/v1help for explanations. @en
  • An ontology for the Drug Bureau of Macedonia (DBM). @en
  • An ontology for describing brand-name drugs. @en
  • This vocabulary provides supplementary terms for organisations wishing to publish open data about themselves. @en
  • This version of the OSLO Exchange Standard provides a minimum set of classes and properties for describing a natural person, i.e. the individual as opposed to any role they may play in society or the relationships they have to other people, organisations and property; all of which contribute significantly to the broader concept of identity. The vocabulary is closely integrated with the Person, Organisation and Location Vocabularies published by the W3C in the Gov Linked Data Project. The OSLO specification is the result of a public-private partnership initiated by V-ICT-OR, the Flemish Organization for ICT in Local Government. @en