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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 -
tribont-sample - Sample module https://w3id.org/tribont/sample The goal of this module is to represent the sample systems , and the undelaying samples, involved in the tribological experiments. @en -
tree - TREE https://w3id.org/tree A hypermedia specification for fragmenting collections. @en -
tribont - TribOnt ontology https://w3id.org/tribont The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en -
tribont-material - Material module https://w3id.org/tribont/material The goal of this module is to represent the materials that can be involved in the tribological experiments as part of the tested samples. @en -
tribont-core - Core module https://w3id.org/tribont/core The goal of this module is to represent the common classes, and object and data properties included in two or more modules of the TribOnt ontology. @en -
tribont-equipment - Equipment module https://w3id.org/tribont/equipment The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @en -
vair - Vocabulary of AI Risks https://w3id.org/vair VAIR is a taxonomy of AI and risk concepts. @en -
vpa - ERA ontology for verified permissions https://w3id.org/vpa ERA ontology for verified permissions, as applied in vehicle(type) authorisations, registrations and approvals @en -
server - YANG Server Ontology https://w3id.org/yang/server# Ontology that defines core concepts for representing YANG servers, including connection details and the available YANG datastores, along with operations for retrieving YANG data from a YANG server. The goal of this ontology is to enable the declarative and abstract of the interactions with YANG servers for monitoring and configuration purposes. In this sense, the ontology can become the basis for building a knowledge graph from YANG data obtained from YANG servers. @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 -
ws - An ontology for describing Workspaces. https://www.w3.org/ns/pim/space This ontology is for use in describing Workspaces. Workspaces are places where data is stored and associated policies of privacy. A given application typically stores information in several different workspaces, some being user private, some shared, and some public. it is crucial that the user has easy control over the destiny of information. @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 -
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