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  • oml - OWL for Observations
    http://def.seegrid.csiro.au/ontology/om/om-lite
    An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements / OGC Abstract Specification - Topic 20. @en
  • samfl - OWL for Sampling Features
    http://def.seegrid.csiro.au/ontology/om/sam-lite
    A simple OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements @en
  • gf - OWL representation of ISO 19109 (General Feature Model)
    http://def.seegrid.csiro.au/isotc211/iso19109/2005/feature
    An OWL representation of part of the General Feature Model described in ISO 19109 and the General Feature Instance model described in Annex C of ISO 19156:2011. @en
  • md - OWL representation of ISO 19115
    http://def.seegrid.csiro.au/isotc211/iso19115/2003/metadata
    An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - MD Package. @en
  • nen3610 - NEN 3610 - base model geo-information
    http://modellen.geostandaarden.nl/def/nen3610
    NEN 3610 - base model geo-information – terms, definitions, relationships and general rules for the exchange of information about earth related spatial objects @en
  • fiesta-priv - FIESTA-Priv Ontology
    http://purl.org/iot/ontology/fiesta-priv#
    FIESTA-Priv Ontology @en
  • iottaxolite - The IoTTaxonomy-lite Taxonomy
    http://purl.org/iot/vocab/iot-taxonomy-lite#
    The IoT-Taxonomy-lite is adapted from M3-lite taxonomy. This taxonomy is refactored and defines many other concepts such as subclasses of Feature-of-Interest and Quality-of-Observation. @en
  • fiesta-iot - FIESTA-IoT Ontology
    http://purl.org/iot/ontology/fiesta-iot
    The FIESTA-IoT ontology takes inspiration from the well-known Noy et al. methodology for reusing and interconnecting existing ontologies. To build the ontology, we leverage a number of core concepts from various mainstream ontologies and taxonomies, such as Semantic Sensor Network (SSN), M3-lite (a lite version of M3 ontology), WGS84, IoT-lite, Time, and DUL ontology. @en
  • 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
  • igeo - French Statistical ontology for geolocation
    http://rdf.insee.fr/def/geo
    Ontology describing geographic entities as seen by the French Statistical Institute @en
  • juso.kr - South Korea Extension to Juso Ontology
    http://rdfs.co/juso/kr/
    South Korea Extension to Juso Ontology is a Web vocabulary that extends Juso Ontology to describe geographical addresses and features in South Korea. @en
  • juso - Juso Ontology
    http://rdfs.co/juso/
    Juso Ontology is a Web vocabulary for describing geographical addresses and features. @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
  • frappe - FraPPE: Frame, Pixel, Place, Event vocabulary
    http://streamreasoning.org/ontologies/frappe#
    FraPPE is a vocabulary to enable Visual Analytics operations on geo-spatial time varying data. By enabling Visual Analytics instruments FraPPE ease the capture, correlation and comparison operations on geo-spatial data from different sources evolving over time @en