Ontology for describing datasets and profiles in the RiverBench benchmark suite. @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
modsci- ModSci, Modern Science Ontology.
https://w3id.org/skgo/modsci#
ModSci is a reference ontology for modelling different types of modern sciences and related entities, such as scientific discoveries, renowned scientists, instruments, phenomena ... etc. @en
seo- The Scientific Events Ontology
https://w3id.org/seo
The vocabulary allows for the description of data about scientific events such as conferences, symposiums and workshops. @en
olca- Ontology Loose Coupling Annotation
https://w3id.org/vocab/olca
A vocabulary defining annotations enabling loose coupling between classes and properties in ontologies. Those annotations define with some accuracy the expected use of properties, in particular across vocabularies, without the formal constraints entailed by the use of OWL or RDFS constructions @en
gtm- Gouda Time Machine Ontology
https://www.goudatijdmachine.nl/def
The Gouda Time Machine Ontology describes the geo-temporal classes and properties used within the Gouda Time Machine. @en
gleif-geo- Global Legal Entity Identifier Foundation Geocoding Ontology
https://www.gleif.org/ontology/Geocoding/
Ontology defining concepts for Geocoding of addresses. It is based on the geocoding used in the Global Legal Entity Identifier Foundation (GLEIF) Golden Copy Data, but is more broadly applicable. @en
sdm- SPARQL endpoint metadata
https://w3id.org/vocab/sdm
A small vocabulary for representing SPARQL endpoint metadata on the web @en
gleif-base- Global Legal Entity Identifier Foundation Base Ontology
https://www.gleif.org/ontology/Base/
Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information. @en