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  • m3lite - The Machine-to-Machine Measurement (M3) Lite Ontology
    http://purl.org/iot/vocab/m3-lite#
    M3 lite taxonomy is designed for the FIESTA-IOT H2020 EU project. We refactor, clean and simplify the M3 ontology designed by Eurecom (Amelie Gyrard). M3 ontology lite is currently aligned with the quantity taxonomy used by several testbeds: SmartSantander (Spain), University of Surrey (United Kingdom), KETI (Korea) and Com4Innov (France). @en
  • docso - Document Service Ontology
    http://purl.org/ontology/dso
    A micro-ontology that defines a set of typical document-related services such as provided by libraries, museums and archives. @en
  • is - Info Service Ontology
    http://purl.org/ontology/is/core#
    The Information Service Ontology specification provides basic concepts and properties for describing different information services, e.g. Wikipedia, MusicBrainz, Freebase @en
  • part - Participation Schema
    http://purl.org/vocab/participation/schema
    The participation ontology is a simple model for describing the roles that people play within groups. It is intended that specific domains will create subclasses of roles within their own areas of expertise. @en
  • cs - Changeset
    http://purl.org/vocab/changeset/schema
    This vocabulary defines a set of terms for describing changes to resource descriptions. @en
  • mil - Military Ontology Specification
    http://rdf.muninn-project.org/ontologies/military
    The Muninn Military Ontology marks up information about military people, organizations and events. @en
  • sioc - Semantically-Interlinked Online Communities
    http://rdfs.org/sioc/ns#
    SIOC is an ontology for describing the information in online communities. @en
  • tsioc - SIOC Types Ontology Module
    http://rdfs.org/sioc/types#
    Extends the SIOC Core Ontology (Semantically-Interlinked Online Communities) by defining subclasses and subproperties of SIOC terms. @en
  • ruto - Test-Driven Data Debugging Ontology
    http://rdfunit.aksw.org/ns/core#
    The Databugger ontology describes concepts used in Databugger, a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. @en
  • isoadr - ISO19160-1:2015 Address ontology
    http://reference.data.gov.au/def/ont/iso19160-1-address
    This ontology is a version of the ISO TC211, Group for Ontology Management (GOM)'s OWL ontology interpretation of the ISO19160-1:2015 "Addressing -- Part 1: Conceptual model" standard (see https://www.iso.org/standard/61710.html) taken from that ontology's source code, published at https://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19160-1/2015. @en
  • mv - MobiVoc: Open Mobility Vocabulary
    http://schema.mobivoc.org/
    Our goal is to significantly improve the data mobility between all stakeholders by providing a standardized vocabulary using Semantic Web technologies and ontologies. For the open vocabulary covering various mobility aspects we use RDF (Resource Description Framework) - a recommended specification of the World Wide Web Consortium (W3C) and the so-called lingua franca for the integration of data and web. We invite everyone who is interested to join our MobiVoc initiative and to participate in the development of the Open Mobility Vocabulary. @en
  • odrs - Open Data Rights Statement Vocabulary
    http://schema.theodi.org/odrs
    A vocabulary that supports the publication of Open Data by providing the means to capture machine-readable "rights statements", e.g. the licensing information, copyright notices and attribution requirements that are associated with the publication and re-use of a dataset. @en
  • st - The Stop Times ontology
    http://semweb.mmlab.be/ns/stoptimes#Ontology
    This ontology provides the predicates necessary to describe an arrival of a transit vehicle and its departure at a certain Stop. @en
  • dqc - The Data Quality Constraints Library
    http://semwebquality.org/ontologies/dq-constraints
    This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en
  • cwrc - The CWRC Ontology
    http://sparql.cwrc.ca/ontologies/cwrc
    The CWRC Ontology is the ontology of the Canadian Writing Research Collaboratory. @en