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  • shw - Smart Home Weather
    http://paul.staroch.name/thesis/SmartHomeWeather.owl#
    An ontology defining weather-related concepts and properties being relevant to smart home systems that provide predictive control. @en
  • cff - Climate and Forecast (CF) features
    http://purl.oclc.org/NET/ssnx/cf/cf-feature
    This is an ontology representation of the generic features defined by Climate and Forecast (CF) standard names vocabulary (http://cf-pcmdi.llnl.gov/documents/cf-standard-names/), maintained by the Program for Climate Model Diagnosis and Intercomparison (http://cf-pcmdi.llnl.gov/ ) which is intended for use with climate and forecast data, in the atmosphere, surface and ocean domains. @en
  • geosp - GeoSpecies Ontology
    http://rdf.geospecies.org/ont/geospecies
    The GeoSpecies Ontology is used to describe geographical distribution of living species. @en
  • taxref-ld - TAXREF-LD Ontology
    http://taxref.mnhn.fr/lod/taxref-ld
    Representation of the TAXREF taxonomic register as linked data. This resource is at the same time an ontology of classes depicting the taxa and a thesaurus (SKOS concept scheme) of the scientific names attached to the taxa. @en
  • moac - Management of a Crisis Vocabulary
    http://www.observedchange.com/moac/ns#
    MOAC, the Management of a Crisis Vocabulary, is a lightweight vocabulary aiming to provide terms to enable practitioners to relate different "things" in crisis management activities together as Linked Data. The initial MOAC terms originated from the Inter Agency Standing Committee (IASC), Emergency Shelter Cluster in Haiti, UNOCHA 3W Who What Where Contact Database @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
  • foo - Forest Observatory Ontology (FOO)
    https://w3id.org/def/foo#
    This ontology describes wildlife observations generated by sensors. @en
  • ecfo - The Emission Conversion Factor Ontology
    https://w3id.org/ecfo
    This ontology defines a vocabulary for describing carbon emission conversion factors (CF). These are values typically used to calculate carbon emissions where the CF multiplies a quantified estimate of the energy (e.g., kWh of electricity, litters of fuel, etc.) used by a particular activity. @en
  • ifc - IFC4_ADD1
    https://w3id.org/ifc/IFC4_ADD1
    OWL ontology for the IFC conceptual data schema and exchange file format for Building Information Model (BIM) data @en
  • seasd - The SEAS Device ontology
    https://w3id.org/seas/DeviceOntology
    The SEAS Device ontology defines `seas:Device` as physical system that are designed to execute one or more procedures that involve the physical world. @en
  • seasfo - The SEAS Forecasting ontology
    https://w3id.org/seas/ForecastingOntology
    The SEAS Forecasting ontology extends the [Procedure Execution ontology (PEP)](https://w3id.org/pep/) @en
  • wfont - Wind Farm Ontology (wfont)
    https://w3id.org/wfont
    The Wind Farm Ontology (wfont) describes wind farms and their components. It is inspired by the SANDIA Report SAND2009-1171 and DAEKIN project outcomes. It reuses the AffectedBy and EEP (Execution-Executor-Procedure) ontology design patterns to discover sensors or actuators that observe or act on a given quality or feature of interest. @en
  • km4c - km4city, the DISIT Knowledge Model for City and Mobility
    http://www.disit.org/km4city/schema
    A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @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
  • 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