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  • ostop - Ordnance Survey Topography Ontology
    http://www.ordnancesurvey.co.uk/ontology/Topography/v0.1/Topography.owl
    The general purpose of this ontology is to provide a library of high level concepts that are used by the other modules within the whole OS Topographic ontology. The ontology also describes the relationships and instances common to more than one module. @en
  • opmw - The OPMW Ontology
    http://www.opmw.org/ontology/
    OPMW is a OPMV profile to model the executions and definitions of scientific workflows. @en
  • msr - Measurement Ontology
    http://www.telegraphis.net/ontology/measurement/measurement#
    The Measurement Ontology is an ontology in which measurements may be rendered @en
  • geo - WGS84 Geo Positioning
    http://www.w3.org/2003/01/geo/wgs84_pos
    A vocabulary for representing latitude, longitude and altitude information in the WGS84 geodetic reference datum. @en
  • mls - Machine Learning Schema
    http://www.w3.org/ns/mls
    ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en
  • locn - ISA Programme Location Core Vocabulary
    http://www.w3.org/ns/locn
    The ISA Programme Location Core Vocabulary provides a minimum set of classes and properties for describing any place in terms of its name, address or geometry. The vocabulary is specifically designed to aid the publication of data that is interoperable with EU INSPIRE Directive. @en
  • ssn - Semantic Sensor Network Ontology
    http://www.w3.org/ns/ssn/
    This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en
  • sosa - Sensor, Observation, Sample, and Actuator (SOSA) Ontology
    http://www.w3.org/ns/sosa/
    This ontology is based on the SSN Ontology by the W3C Semantic Sensor Networks Incubator Group (SSN-XG), together with considerations from the W3C/OGC Spatial Data on the Web Working Group. @en
  • atts - Air Traffic Temporal and Spacial Vocabulary
    https://data.nasa.gov/ontologies/atmonto/general#
    Defines temporal / spatial concepts and general-purpose datastructures @en
  • tfo - Transformation Functions Ontology
    https://privatealpha.com/ontology/transformation/1#
    This document describes functions which transform HTTP representations, i.e., the actual literal payloads of HTTP messages. @en
  • edifact-o - EDIFACT Ontology
    https://purl.org/edifact/ontology
    An Ontology for representing EDIFACT Messages. @en
  • s4watr - SAREF extension for water
    https://saref.etsi.org/saref4watr/
    This ontology extends the SAREF ontology for the water domain. This work has been developed in the context of the STF 566, which was established with the goal to create three SAREF extensions, one of them for the water domain. @en
  • s4ener - SAREF4EE: the EEbus/Energy@home extension of SAREF
    https://saref.etsi.org/saref4ener/
    This is the extension of SAREF for the EEBus and Energy@Home project. The documentation of SAREF4EE is available at http://ontology.tno.nl/SAREF4EE_Documentation_v0.1.pdf. SAREF4EE represents 1) The configuration information exchanged in the use case 'Remote Network Management' according to the EEBus Technical Report, Protocol Specification- Remote Network Management, version 1.0.0.2, 2015-09-19; 2) The scheduling information about power sequences exchanged in the use cases Appliance scheduling through CEM and remote start' and 'Automatic cycle rescheduling', according to the message structures described in General Message Structures, version 0.1.1, 2015-10-07; 3) The monitor and control information exchanged in the use case 'Communicate appliance status and info on manually planned cycles', according to the monitoring and control part of the Energy@Home Data Model, version 1.0; and 4) the event-based data exchanged in the use case 'Demand Response', according to General Message Structures, version 0.1.1, 2015-10-07. @en
  • s4envi - SAREF extension for environment
    https://saref.etsi.org/saref4envi/
    This ontology extends the SAREF ontology for the environment domain, specifically for the light pollution domain, including concepts like photometers, light, etc. @en
  • cem - Crime Event Model (CEM)
    https://w3id.org/CEMontology
    The Crime Event Model is an ontology for the representation of crime events extracted from local newspapers. It could be employed for Crime Analysis purposes: extracting crime information from newspapers and enriching them with proper machine-readable semantics is a critical task to help law enforcement agencies at preventing crime, supporting criminal investigations and evaluating the action of law enforcement agencies themselves. The model is based on the fundamental 5W1H journalistic questions, that are Who?, What?, When?, Where?, Why? and How?. Another important requirement was the attempt to exploit existing knowledge graphs and ontologies such as the Simple Event Model (SEM) Ontology and the Schema.org data model for interoperability and interconnection. @en