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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 -
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 -
sbeo - SBEO: Smart Building Evacuation Ontology https://w3id.org/sbeo Smart Building Evacuation Ontology (SBEO) is an ontology that couples the information about any building with its occupants such that it can be used in many useful ways. For example, indoor localization of people, detection of any hazard, a recommendation of normal routes such as shopping or stadium seating routes, or safe and feasible emergency evacuation routes or both of them all together. The core SBEO covers the concepts related to the geometry of building, devices and components of the building, route graphs correspondent to the building topology, users' characteristics and preferences, situational awareness of both building (hazard detection, status of routes in terms of availability and occupancy) and users (tracking, management of groups, status in terms of fitness), and emergency evacuation. @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 -
sw-quality - SQuAP Ontology https://w3id.org/squap/ Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been poorly studied, so far. The SQuAP model (Software Quality, Architecture, Process) describes twenty-eight main factors that impact on software quality in banking systems, and each factor is described as a relation among some characteristics from the three ISO standards. Hence, SQuAP makes such relations emerge rigorously, although informally. SQaAP-Ont is an OWL ontology that formalises those relations in order to represent and reason via Linked Data about software engineering in a three-dimensional model consisting of quality, architecture, and process characteristics. @en -
sri - Smart Readiness Indicator Vocabulary https://w3id.org/sri A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @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 -
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