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pko - Procedural Knowledge Ontology (PKO) https://w3id.org/pko The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @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 -
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 -
swemls - Semantic-Web Machine Learning System (SWeMLS) Ontology https://w3id.org/semsys/ns/swemls An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en -
sdc - StatbarnSDC Ontology https://w3id.org/statbarnsdc An Ontology for the Statbarn Framework used in Output Statistical Disclosure Control (OSDC). @en -
tree - TREE https://w3id.org/tree A hypermedia specification for fragmenting collections. @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 -
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 - 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-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 -
tido - The Threat Intelligence Decision Ontology https://w3id.org/tido# The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @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 -
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 -
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