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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 -
rdfp - The RDF Presentation ontology https://w3id.org/rdfp/ ## RDF Presentation and RDF Presentation Negotiation An RDF graph can be presented in several ways, using different media types. Examples of RDF media types include `application/rdf+xml`, `text/turtle`, `application/json+ld`. Today, most of the content consumed/produced/published, on the Web is not presented in RDF. In the Web of Things, HTTP servers and clients would rather exchange lightweight documents, potentially binary. Currently, most existing RDF Presentations generically apply to any RDF graph, at the cost of being heavy text-based documents. Yet, lightweight HTTP servers/clients could be better satisfied with consuming/producing/publishing lightweight documents, may its structure be application-specific. @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 -
stax - RDF Stream Taxonomy (RDF-STaX) https://w3id.org/stax/ontology RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @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 -
rml-core http://w3id.org/rml/core -
rml-fnml http://w3id.org/rml/fnml/ -
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 -
jsonsc - JSON Schema in RDF https://www.w3.org/2019/wot/json-schema# Module for data schema specifications, part of the W3C Web of Things (WoT) Thing Description model @en