Vocabs
Terms
Agents
SPARQL/Dump
Patterns
vocabs
102
results
seas-stats
- The SEAS Statistics ontology.
https://w3id.org/seas/StatisticsOntology
This ontology defines common evaluation interpretation concepts for statistics.
@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
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-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
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-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
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
sur
- The Survey Ontology
https://www.w3id.org/survey-ontology
Ontology for surveys based on the Coney data model.
@en
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