The Intelligence Task Ontology (ITO) provides a comprehensive map of machine intelligence tasks, as well as broader human intelligence or hybrid human/machine intelligence tasks.

Prefix

ito

Keywords

artificial intelligence machine learning natural language processing ontology

Links

Homepage Repository OWL

Contact

Matthias Samwald   0000-0002-4855-2571

Pattern for Local Unique Identifiers

Local identifiers in Intelligence Task Ontology should match this regular expression:
^\d+$

Example Local Unique Identifier

01625   Resolve

Pattern for CURIES

Compact URIs (CURIEs) constructed from Intelligence Task Ontology should match this regular expression:
^ito:\d+$

Example CURIE

ito:01625

Namespace Embedded in LUI

This resource has been annotated by the Bioregistry as having a potential namespace embedded in LUI. This means that you may see local unique identifiers that include a redundant prefix and delimiter (also known as a banana) and therefore look like a CURIE. For Intelligence Task Ontology, the banana looks like ITO_. Therefore, you may see local unique identifiers for this resource that look like ITO_01625 (instead of the canonical form 01625) and CURIEs for this resource that look like ito:ITO_01625 (instead of the canonical form ito:01625). The Bioregistry will automatically strip off the banana when standardizing local unique identifiers and CURIEs.

Publications

• 2022 A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
• 2022 Intelligence Task Ontology and Knowledge Graph (ITO)
• 2021 A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks

The metaregistry provides mappings between the Bioregistry and other registries. There are 4 mappings to external registries for this resource with 2 unique external prefixes.

Providers are various services that resolve CURIEs to URLs. The example CURIE ito:01625 is used to demonstrate the provides available for this resource. Generation of OLS and BioPortal URLs requires additional programmatic logic beyond string formatting.