The vocabulary allows for the description of data about scientific events such as conferences, symposiums and workshops. @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
Smart home ontology for weather phenomena and exterior conditions @en
vair- Vocabulary of AI Risks
https://w3id.org/vair
VAIR is a taxonomy of AI and risk concepts. @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