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berkeleybop / artificial-intelligence-ontology

An ontology modeling classes and relationships describing deep learning networks, their component layers and activation functions, machine learning methods, as well as AI/ML potential biases.
https://berkeleybop.github.io/artificial-intelligence-ontology/
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artificial-intelligence deep-learning ontology vocabulary

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Artificial Intelligence Ontology (AIO)

An ontology modeling classes and relationships describing deep learning networks, their component layers and activation functions, machine learning methods, as well as AI/ML potential biases.

More information can be found at https://berkeleybop.github.io/artificial-intelligence-ontology/

or on BioPortal at https://bioportal.bioontology.org/ontologies/AIO

Versions

Stable release versions

The latest version of the ontology can always be found in this repository in

aio.owl

Editors' version

Editors of this ontology should use the edit version, src/ontology/aio-edit.owl

Bridge axioms

Bridges between AIO and top-level ontologies are provided here: src/ontology/bridge/aio-bridge-to-upper.owl

These include:

AIO label OBO label OBO id
aio:Bias disposition BFO:0000016
aio:MathematicalFunction planned process IAO:0000033
aio:Layer information content entity IAO:0000030
aio:MachineLearningTask planned process OBI:0000011
aio:Model information content entity IAO:0000030
aio:Network information content entity IAO:0000030
aio:Preprocessing planned process OBI:0000011

Contact

Please use this GitHub repository's Issue tracker to request new terms/classes or report errors or specific concerns related to the ontology.

Acknowledgements

This ontology repository was created using the Ontology Development Kit.