Enum: TaskCategory

Categories of AI task addressed by AI systems, derived from the\n machine-learning, NLP and computer-vision terminology in Clause 3.

URI: iso22989:TaskCategory

Permissible Values

Value	Meaning	Description
classification	None	Assigning a class label to an input
regression	None	Predicting a continuous numeric value
clustering	None	Grouping items by similarity without supervision
ranking	None	Ordering items by relevance or preference
recommendation	None	Suggesting items to a user given context
anomaly_detection	None	Identifying inputs that deviate from expected behaviour
dimensionality_reduction	None	Producing a lower-dimensional representation of the data
generation	None	Producing new content (text, images, audio, etc
planning	None	Producing a sequence of actions that achieve a goal
control	None	Selecting actions to influence a dynamical system
decision_support	None	Producing recommendations or explanations to support human decisions

Slots

Name	Description
task_category	Category of AI task being addressed
task_categories	Task categories the AI system addresses

In Subsets

• AiConcepts

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/lmodel/iso22989

LinkML Source

name: TaskCategory
description: Categories of AI task addressed by AI systems, derived from the\n      machine-learning,
  NLP and computer-vision terminology in Clause 3.
in_subset:
- ai_concepts
from_schema: https://w3id.org/lmodel/iso22989
rank: 1000
permissible_values:
  classification:
    text: classification
    description: Assigning a class label to an input.
  regression:
    text: regression
    description: Predicting a continuous numeric value.
  clustering:
    text: clustering
    description: Grouping items by similarity without supervision.
  ranking:
    text: ranking
    description: Ordering items by relevance or preference.
  recommendation:
    text: recommendation
    description: Suggesting items to a user given context.
  anomaly_detection:
    text: anomaly_detection
    description: Identifying inputs that deviate from expected behaviour.
  dimensionality_reduction:
    text: dimensionality_reduction
    description: Producing a lower-dimensional representation of the data.
  generation:
    text: generation
    description: Producing new content (text, images, audio, etc.).
  planning:
    text: planning
    description: Producing a sequence of actions that achieve a goal.
  control:
    text: control
    description: Selecting actions to influence a dynamical system.
  decision_support:
    text: decision_support
    description: Producing recommendations or explanations to support human decisions.