Ontology-based machine learning training/validation data generation service

One or more non-transitory, computer-readable, media storing program instructions that, when executed using one or more processors, cause the one or more processors to:

• receive, at an ontology-based annotation service, information defining an ontology;
• automatically select or generate, by the ontology-based annotation service, based on the ontology, one or more annotation tools for generating annotation data;
• automatically generate, by the ontology-based annotation service, based on the ontology, one or more annotation workflows for collecting the annotation data in accordance with the ontology;
• coordinate, by the ontology-based annotation service, a plurality of computing resources to perform execution of the one or more annotation workflows using the one or more annotation tools to collect the annotation data in accordance with the ontology;
• and
• automatically populate, by the ontology-based annotation service, a model with the annotation data, wherein the model is structured according to the received ontology.

A method, comprising:

• receiving, at an ontology-based annotation service, information defining an ontology;
• automatically selecting, by the ontology-based annotation service, based on the ontology, one or more annotation tools for generating annotation data;
• automatically generating, by the ontology-based annotation service, based on the ontology, one or more annotation workflows for collecting the annotation data in accordance with the ontology;
• coordinating, by the ontology-based annotation service, a plurality of computing resources to perform execution of the one or more annotation workflows using the one or more annotation tools to collect the annotation data in accordance with the ontology;
• and
• automatically populating, by the ontology-based annotation service, a model with the annotation data, wherein the model is structured according to the received ontology.