196
results
  • sdont - The Software Description Ontology
    https://w3id.org/okn/o/sd
    An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en
  • ocmv - OntoUML/UFO Catalog Metadata Vocabulary
    https://w3id.org/ontouml-models/vocabulary
    Specification of the metadata used to describe models in the OntoUML/UFO Catalog. @en
  • okh - Open Know How (OKH) ontology
    https://w3id.org/oseg/ont/okh
    Used for indexing, searching and comparing Open Source Hardware projects @en
  • nno - The Neural Network Ontology
    https://w3id.org/nno/ontology
    This is the Neural Network Ontology. Designed by the AIFB (http://www.aifb.kit.edu/web/Web_Science) @en
  • seas-eval - The SEAS Evaluation ontology
    https://w3id.org/seas/EvaluationOntology
    The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en
  • seas-stats - The SEAS Statistics ontology.
    https://w3id.org/seas/StatisticsOntology
    This ontology defines common evaluation interpretation concepts for statistics. @en
  • pep - Process Execution ontology.
    https://w3id.org/pep/
    The process execution ontology is a proposal for a simple extension of both the [W3C Semantic Sensor Network](https://www.w3.org/TR/vocab-ssn/) and the [Semantic Actuator Network](https://www.irit.fr/recherches/MELODI/ontologies/SAN.owl) ontology cores. @en
  • pghdprovo - Patient Generated Health Data Provenance Ontology
    https://w3id.org/pghdprovo
    Patient Generated Health Data (PGHD) refer to health data collected by patient or their relatives. This ontology seeks to capture information about the data, the provenance and data quality associated with PGHD shared with an EHR. @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
  • 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
  • rains - The RAInS Ontology
    https://w3id.org/rains
    An ontology to model accountability of AI systems which use machine learning. @en
  • pko - Procedural Knowledge Ontology (PKO)
    https://w3id.org/pko
    The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @en
  • rb - RiverBench metadata ontology
    https://w3id.org/riverbench/schema/metadata
    Ontology for describing datasets and profiles in the RiverBench benchmark suite. @en
  • spectra - SPECTRA: A Traceability Ontology for 3GPP RAN Standardization
    https://w3id.org/spectra
    OWL 2 ontology modeling the 3GPP RAN standardization document lifecycle (Tdoc, Resolution, CR, LS, Section, Spec, TechnicalReport, TRImpact, Meeting, Company, WorkingGroup). Designed from RAN1 competency questions and validated by cross-WG instantiation against RAN2-RAN5 with no additional process-layer classes required. Also declares six entity-layer classes (RRCParameter, CapabilityItem, Feature, Procedure, PerformanceRequirement, ConformanceTest) modeling spec-body entities: ASN.1 IEs, UE capability items, named standardization features, protocol procedures, performance requirements, and conformance test specifications. @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