208
results
-
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 -
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 -
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 -
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 -
sdc - StatbarnSDC Ontology https://w3id.org/statbarnsdc An Ontology for the Statbarn Framework used in Output Statistical Disclosure Control (OSDC). @en -
usability - Usability https://w3id.org/usability Ontology 'Usability' created to describe and store information about interactions of user with a software user interface @en