128
results
  • 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
  • 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
  • oso
    https://w3id.org/earthsemantics/OSO