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ontouml - OntoUML Metamodel Vocabulary https://w3id.org/ontouml A reference implementation of the OntoUML metamodel in OWL. @en -
sdont - The Software Description Ontology https://w3id.org/okn/o/sd An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en -
okh - Open Know How (OKH) ontology https://w3id.org/oseg/ont/okh Used for indexing, searching and comparing Open Source Hardware projects @en -
nno - The Neural Network Ontology https://w3id.org/nno/ontology This is the Neural Network Ontology. Designed by the AIFB (http://www.aifb.kit.edu/web/Web_Science) @en -
seas-eval - The SEAS Evaluation ontology https://w3id.org/seas/EvaluationOntology The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en -
seas-stats - The SEAS Statistics ontology. https://w3id.org/seas/StatisticsOntology This ontology defines common evaluation interpretation concepts for statistics. @en -
pep - Process Execution ontology. https://w3id.org/pep/ The process execution ontology is a proposal for a simple extension of both the [W3C Semantic Sensor Network](https://www.w3.org/TR/vocab-ssn/) and the [Semantic Actuator Network](https://www.irit.fr/recherches/MELODI/ontologies/SAN.owl) ontology cores. @en -
rains - The RAInS Ontology https://w3id.org/rains An ontology to model accountability of AI systems which use machine learning. @en -
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 -
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 -
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