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  • rbdoc - RiverBench documentation ontology
    https://w3id.org/riverbench/schema/documentation
    Ontology with metadata needed to generate documentation of datasets, distributions, profiles, etc. in RiverBench @en
  • rb - RiverBench metadata ontology
    https://w3id.org/riverbench/schema/metadata
    Ontology for describing datasets and profiles in the RiverBench benchmark suite. @en
  • rdfp - The RDF Presentation ontology
    https://w3id.org/rdfp/
    ## RDF Presentation and RDF Presentation Negotiation An RDF graph can be presented in several ways, using different media types. Examples of RDF media types include `application/rdf+xml`, `text/turtle`, `application/json+ld`. Today, most of the content consumed/produced/published, on the Web is not presented in RDF. In the Web of Things, HTTP servers and clients would rather exchange lightweight documents, potentially binary. Currently, most existing RDF Presentations generically apply to any RDF graph, at the cost of being heavy text-based documents. Yet, lightweight HTTP servers/clients could be better satisfied with consuming/producing/publishing lightweight documents, may its structure be application-specific. @en
  • saont - The System Accountability Ontology
    https://w3id.org/sao
    An ontology to model accountability of generic systems. @en
  • rains - The RAInS Ontology
    https://w3id.org/rains
    An ontology to model accountability of AI systems which use machine learning. @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
  • stax - RDF Stream Taxonomy (RDF-STaX)
    https://w3id.org/stax/ontology
    RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @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
  • sdm - SPARQL endpoint metadata
    https://w3id.org/vocab/sdm
    A small vocabulary for representing SPARQL endpoint metadata on the web @en
  • server - YANG Server Ontology
    https://w3id.org/yang/server#
    Ontology that defines core concepts for representing YANG servers, including connection details and the available YANG datastores, along with operations for retrieving YANG data from a YANG server. The goal of this ontology is to enable the declarative and abstract of the interactions with YANG servers for monitoring and configuration purposes. In this sense, the ontology can become the basis for building a knowledge graph from YANG data obtained from YANG servers. @en
  • rml-core
    http://w3id.org/rml/core
  • rml-fnml
    http://w3id.org/rml/fnml/
  • ws - An ontology for describing Workspaces.
    https://www.w3.org/ns/pim/space
    This ontology is for use in describing Workspaces. Workspaces are places where data is stored and associated policies of privacy. A given application typically stores information in several different workspaces, some being user private, some shared, and some public. it is crucial that the user has easy control over the destiny of information. @en
  • jsonsc - JSON Schema in RDF
    https://www.w3.org/2019/wot/json-schema#
    Module for data schema specifications, part of the W3C Web of Things (WoT) Thing Description model @en
  • rml-io
    http://w3id.org/rml/io/