Patent ID: 11934441
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for training an ontology system, the method comprising:
selecting an ontology topic;
priming, by an ontology topic primer, a pretrained predictive language model to create a predictive primed model based on one or more ontological rules corresponding to the selected ontology topic;
generating, using the predictive primed model, natural language text based on the ontology topic and guidance of a prediction steering component;
guiding, by the prediction steering component, the predictive primed model in selecting text that is predicted to be appropriate for the ontology topic and the generated natural language text;
processing, by an ontology extractor, the generated natural language text to generate extracted ontology rules;
comparing the extracted ontology rules to one or more rules of an ontology rule database that correspond to the ontology topic, wherein a result of the comparison comprises an indication of a performance of the ontology extractor;
training the ontology extractor and the ontology topic primer based on the result of the comparison; and
performing, by an ontology comparator, a check to determine if a performance of the ontology extractor is acceptable.