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  • oum - Ontology of units of Measure (OM)
    http://www.ontology-of-units-of-measure.org/resource/om-2/
    The Ontology of units of Measure (OM) 2.0 models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. @en
  • ncal - NEPOMUK Calendar Ontology
    http://www.semanticdesktop.org/ontologies/2007/04/02/ncal
    The NEPOMUK Calendaring Ontology intends to provide vocabulary for describing calendaring data (events, tasks, journal entries) which is an important part of the body of information usually stored on a desktop. It is an adaptation of the ICALTZD ontology created by the W3C RDF Calendar Task Force of the Semantic Web Interest Group in the Semantic Web Activity. @en
  • time - Time Ontology
    http://www.w3.org/2006/time
    This vocabulary defines temporal entities such as time intervals, their properties and relationships. @en
  • cal - Internet Calendaring and Scheduling Core Object Specification
    http://www.w3.org/2002/12/cal/ical
    A vocabulary for description of events and calendars @en
  • tzont - Time Zone Ontology
    http://www.w3.org/2006/timezone
    A vocabulary to describe time zones and their geographical coverage. @en
  • te - Time Entry
    http://www.w3.org/2006/time-entry
    An entry sub-ontology of time (OWL-Time). @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
  • uiot - Urban IoT Ontologies - Core Module
    http://www.w3id.org/urban-iot/core
    Core module of the suite of ontologies for urban IoT devices. @en
  • uiote - Urban IoT Ontologies - Electric Mobility Module
    http://www.w3id.org/urban-iot/electric
    Electric Mobility module of the suite of ontologies for urban IoT devices. @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
  • caso - Context Aware System Observation Ontology
    http://www.w3id.org/def/caso#
    CASO (Context Aware System Observation) is an ontology for context aware system and observation services. Its goal is to describe all the processing of the context. @en
  • atts - Air Traffic Temporal and Spacial Vocabulary
    https://data.nasa.gov/ontologies/atmonto/general#
    Defines temporal / spatial concepts and general-purpose datastructures @en
  • tresiot - Ontology for Trust Recommendation in Social Internet of Things
    https://liidr.org/trust-recommendation-in-social-internet-of-things/
    This ontology models trust recommendation concepts in SIoT to bridge the gap between abstract trust concepts and real-world device concepts. @en
  • atd - Air Traffic Data
    https://data.nasa.gov/ontologies/atmonto/data#
    Defines concepts related to airport status, including weather, forecasts, and airport operations @en
  • vas - VAS. A Semantic Model for Earth Observation Remote Sensing
    https://robotica.uv.es/proyectos/ASOTVAS/def/ciencia-tecnologia/vas
    The VAS ontological model enables the semantic integration of the heterogeneous observations used in ASOTVAS project ( https://robotica.uv.es/proyectos/ASOTVAS/ ), including ground measurements, UAV acquisitions and satellite products. Built as an extension of the W3C SOSA ontology (Janowicz et al., 2018), it incorporates a domain-specific vocabulary tailored to the needs of the Valencia Anchor Station as a CEOS LPV supersite. The model provides additional classes and properties to represent, in a homogeneous way, the different observational platforms: field sensors installed at VAS stations, UAVs equipped with multispectral cameras, and satellite missions such as Sentinel-2 and Sentinel-3. All observations follow a common SOSA pattern and share the same structure for results, units and timestamps. By aligning field, UAV and satellite observations under a unified semantic framework, the VAS ontology supports interoperable data access, consistent representation across scales, and integrated analysis of the multi-source measurements collected in ASOTVAS. @en