The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @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- 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-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
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
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
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
vair- Vocabulary of AI Risks
https://w3id.org/vair
VAIR is a taxonomy of AI and risk concepts. @en
wotsec- Security mechanisms for the Web of Things
https://www.w3.org/2019/wot/security#
Security mechanisms for the the Web of Thing @en
rcao- Resilient Collective Awareness Ontology
https://www.w3id.org/rcao
The RCAO aims to provide a common knowledge model of the resilient collective awareness on automated driving domain. @en
sur- The Survey Ontology
https://www.w3id.org/survey-ontology
Ontology for surveys based on the Coney data model. @en