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  • pghdprovo - Patient Generated Health Data Provenance Ontology
    https://w3id.org/pghdprovo
    Patient Generated Health Data (PGHD) refer to health data collected by patient or their relatives. This ontology seeks to capture information about the data, the provenance and data quality associated with PGHD shared with an EHR. @en
  • seast - The SEAS Time Ontology.
    https://w3id.org/seas/TimeOntology
    This ontology defines: - a set of subclasses of `seas:Evaluation` to better interpret evaluations of quantifiable properties. - a set of sub properties of `seas:hasProperty` to qualify time-related properties. @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
  • seasb - The SEAS Battery ontology.
    https://w3id.org/seas/BatteryOntology
    This ontology defines batteries and their state of charge ratio property. @en
  • seasbo - The SEAS Building Ontology
    https://w3id.org/seas/BuildingOntology
    The SEAS Building ontology describes a taxonomy of buildings, building spaces, and rooms. Some categorizations are based on the energy efficiency related to their insulation etc., although the actual values for classes depend the country specific regulations and geographical locations. Other categorizations are based on occupancy and activities. There is no single accepted categorization available. This taxonomy uses some types selected from: - International building occupancy based categories (USA) - The Classification of Types of Constructions (EU) - Finnish building categorization VTJ2000 (Finland) - Wikipedia category page for Rooms: https://en.wikipedia.org/wiki/Category:Rooms @en
  • 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
  • sulo - Simplified Upper Level Ontology
    https://w3id.org/sulo/sulo/
    The Simplified Upper Level Ontology (SULO) is ontology with a minimal set of classes and relations to guide the development of a personal health knowledge graph. @en
  • modsci - ModSci, Modern Science Ontology.
    https://w3id.org/skgo/modsci#
    ModSci is a reference ontology for modelling different types of modern sciences and related entities, such as scientific discoveries, renowned scientists, instruments, phenomena ... etc. @en
  • vair - Vocabulary of AI Risks
    https://w3id.org/vair
    VAIR is a taxonomy of AI and risk concepts. @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