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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 -
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 -
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 -
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 -
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 -
rml-core http://w3id.org/rml/core -
rml-fnml http://w3id.org/rml/fnml/