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  • react - The REACT Ontology
    https://w3id.org/react
    The REACT ontology aims to represent all the necessary knowledge to support the achievement of island energy independence through renewable energy generation and storage, a demand response platform, and promoting user engagement in a local energy community. The REACT ontology has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. @en
  • seasto - The SEAS Trading ontology
    https://w3id.org/seas/TradingOntology
    The Seas Trading Ontology defines concepts and relations to describe ownership, trading, bilateral contracts and market licenses: - players own systems and trade commodities, which have a price; - bilateral electricity contracts are connections between electricity traders at which they exchange electricity; - electricity markets are connections between electricity traders at which they exchange electricity, using a market license; - electricity markets can be cleared, and balanced; - evaluations can have a traded volume validity context @en
  • gtm - Gouda Time Machine Ontology
    https://www.goudatijdmachine.nl/def
    The Gouda Time Machine Ontology describes the geo-temporal classes and properties used within the Gouda Time Machine. @en
  • gleif-geo - Global Legal Entity Identifier Foundation Geocoding Ontology
    https://www.gleif.org/ontology/Geocoding/
    Ontology defining concepts for Geocoding of addresses. It is based on the geocoding used in the Global Legal Entity Identifier Foundation (GLEIF) Golden Copy Data, but is more broadly applicable. @en
  • gleif-base - Global Legal Entity Identifier Foundation Base Ontology
    https://www.gleif.org/ontology/Base/
    Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information. @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
  • hw - Home Weather
    https://www.auto.tuwien.ac.at/downloads/thinkhome/ontology/WeatherOntology.owl
    Smart home ontology for weather phenomena and exterior conditions @en
  • w3c-ssn - Semantic Sensor Network Ontology
    https://www.w3.org/ns/ssn
    This ontology describes sensors and observations, and related concepts. It does not describe domain concepts, time, locations, etc. as these are intended to be included from other ontologies via OWL imports. @en
  • mso-em - MSO-EM: Ontologies for modelling, simulation, optimization (MSO) and epistemic metadata (EM)
    https://www.purl.org/mso-em
    MSO-EM is a system of ontologies for documenting the knowledge status of models and data; the aim is to make models and data explainable-AI-ready (XAIR). @en
  • hctl - Hypermedia Controls Ontology
    https://www.w3.org/2019/wot/hypermedia#
    Ontology designed to provide an RDF representation of Hypermedia Controls, in particular links and forms. @en
  • rico - International Council on Archives Records in Contexts Ontology (ICA RiC-O)
    https://www.ica.org/standards/RiC/ontology
    RiC-O (Records in Contexts-Ontology) is an OWL ontology for describing archival record resources. As the second part of Records in Contexts standard, it is a formal representation of Records in Contexts Conceptual Model (RiC-CM). The current official version is <html:strong>v0.2</html:strong>; it is compliant with RiC-CM v0.2 full draft, that will be published in February or March 2021, and that is slightly different from <html:a href="https://www.ica.org/sites/default/files/ric-cm-0.2_preview.pdf">RiC-CM v0.2 preview, that was published in December 2019. RiC-O provides a generic vocabulary and formal rules for creating RDF datasets (or generating them from existing archival metadata) that describe in a consistent way any kind of archival record resource. It can support publishing RDF datasets as Linked Data, querying them using SPARQL, and making inferences using the logic of the ontology. @en