139
results
-
An ontology to model accountability of AI systems which use machine learning. @en
-
The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @en
-
An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
-
An Ontology for the Statbarn Framework used in Output Statistical Disclosure Control (OSDC). @en
-
A hypermedia specification for fragmenting collections. @en
-
RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @en
-
The Simplified Upper Level Ontology (SULO) is ontology with a minimal set of classes and relations to guide the development of a personal health knowledge graph. @en
-
The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @en
-
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
-
The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en
-
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
-
The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @en
-
The goal of this module is to represent the sample systems , and the undelaying samples, involved in the tribological experiments. @en
-
ERA ontology for verified permissions, as applied in vehicle(type) authorisations, registrations and approvals @en
-
VAIR is a taxonomy of AI and risk concepts. @en