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AI/RL Ontology

This repository contains an Artificial Intelligence / Reinforcement Learning Ontology in RDF/OWL format.

Motivation

The AI/RL ontology project was started to help keep up with the pace of AI/RL development.

Usage

Using Protege

Load the ed-ai.owl file and start a reasoner.

You can update the ontology or browse the sample RL instances, to perform queries such as:

  • Problems encountered in reinforcement learning: rl-problem-compounding-errors.png

  • List of RL techniques for on-policy learning: rl-technique-learning-technique-on-policy-evaluation.png

  • List of Q-learning algorithms and their properties: rl-algorithm-qlearning-algorithm-dqn.png

  • List of papers, authors and the algorithms and techniques described in those papers: rl-paper-human-level-control-through-deep-reinforcement-learning.png

Use the following settings you are using WebProtege to edit the RDF/OWL file.

New Entity Settings IRI Prefix: http://www.edowson.com/ontologies/2019/2/ai# IRI Suffix: Supplied name Spaces: Collapse and transform to CamelCase

New Entity Language Settings Annotation property: rdfs:label Language tag: en

Display Name Settings Display name property and language priority: rdfs:label, en Display name fallback: Fallback to IRI local name

Editing

Specify disjoint classes axiom

Add the "OWL Entity Description Editor" view by click on the Classes tab menu and choosing it in the pop-up window.

webprotege-classes-choose-view-owl-entity-description-editor.png

You can add disjoints by using the DisjointClasses: keyword followed by a list of classes that should be disjoint.

webprotege-owl-entity-description-editor-paper.png

Remember to use 'quotes' for classes that you are referring to using rdfs:label.

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