ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en
icon- ICON Ontology
https://w3id.org/icon/ontology/
The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. @en
ishi- Ishikawa diagram ontology
https://w3id.org/ishikawa-diagram-ontology
The Ishikawa ontology aims to provide a data and view model to manage data encoded in Ishikawa diagrams which are also known as fishbone or cause and effect diagram (CED).
Ishikawa diagrams result from (iterative) workshops. Thus, the ontology includes the basic modelling of workshops to create Ishikawa diagrams. @en
okh- Open Know How (OKH) ontology
https://w3id.org/oseg/ont/okh
Used for indexing, searching and comparing Open Source Hardware projects @en
seas-stats- The SEAS Statistics ontology.
https://w3id.org/seas/StatisticsOntology
This ontology defines common evaluation interpretation concepts for statistics. @en
rains- The RAInS Ontology
https://w3id.org/rains
An ontology to model accountability of AI systems which use machine learning. @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
This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
qudt- Quantities, Units, Dimensions and Types
http://qudt.org/schema/qudt
The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. @en
sdmx-code- SDMX Code
http://purl.org/linked-data/sdmx/2009/code
Defines subclasses and instances of codes used in SDMX, such as currencies, decimals, frequencies ... @en
co- Counter Ontology
http://purl.org/ontology/co/core#
The Counter Ontology specification provides basic concepts and properties for describing a general counter concept and some important sub counters @en
reco- RECommendations Ontology
http://purl.org/reco#
The RECO ontology defines the vocabulary for representing preferences-as-constraints and preferences-as-ratings as RDF graphs. This lightweight vocabulary provides domain-independent means to describe user profiles in a coherent and context-aware way. RECO has been designed as an extension of both Friend-Of-A-Friend (FOAF) and Who Am I! (WAI) ontologies. @en
odv- Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram
Extension of data cube for civil service junior posts @en