Skip to content

Subset: Terminology

Classes and enums representing terms and definitions in Clause 3 of ISO/IEC 22989:2022 (Terms related to AI, data, machine learning, neural networks, trustworthiness, natural-language processing and computer vision).

URI: Terminology

Identifier and Mapping Information

Schema Source

Classes in subset

Class Description
AbbreviatedTerm Abbreviation or acronym listed in Clause 4 with its expansion and optional de...
AbbreviationEntry Record of a single abbreviation listed in Clause 4 of the standard
AIModel Trained or rule-based model embedded in an AI system
CatastrophicForgetting Phenomenon by which a continually-trained model loses previously acquired com...
DataDrift Observed change in the statistical distribution of operational data relative ...
DataLabel Label or annotation attached to one or more data samples (Clause 3
DataSample Individual data record within a dataset (Clause 3
Dataset Collection of data items used by an AI system in a training, validation, test...
GroundTruthRecord Trusted reference record used to evaluate or train an AI model (Clause 3
InputData Data presented to an AI system at inference time or during training (Clause 3
NeuralNetworkModel AIModel realised as a neural network (Clause 5
Term Abstract base class for a glossary term defined in Clause 3
TrustworthinessTerm Term defined in Clause 3

Enumerations in subset

Enumeration Description
AbbreviationCode Acronyms and abbreviations listed in Clause 4
ActivationFunctionType Common activation functions used in neural networks (Clause 3
ComputerVisionTask Computer-vision tasks drawn from Clauses 3
DataLabelType Categories of target label produced or consumed by ML workflows
DataModality Modalities of input data handled by AI systems, drawn from the data, NLP and ...
DataProcessType Data-handling processes enumerated in Clause 5
DatasetRole Role a dataset plays in a machine-learning workflow, drawn from Clauses 5
MachineLearningParadigm Top-level machine-learning paradigms enumerated in Clause 5
MLAlgorithmFamily Example machine-learning algorithm families enumerated in Clause 5
NeuralNetworkArchitecture Architectural families of neural networks enumerated across Clause 3
NeuralNetworkPhenomenon Training-time phenomena that affect neural-network learning, drawn from Claus...
NLPComponentType Components of a natural-language-processing pipeline as enumerated in Clauses...
ValidationStrategy Strategies for partitioning data and assessing generalisation, drawn from Cla...