Ontology Reduction Based on Axiomatic Cognitive Model for Ontology Learning

Although it is easier to acquire knowledge from structured or unstructured data with NLP (Nature Language Processing) and Machine Learning techniques, it is still difficult to exclude logic errors using reinforcement learning on ontology construction. Ontology reduction is a key step when a learner agent removes the knowledge from the existing ontology in the process ontology learning. This proposal designs and validates the method of ontology reduction based on the axiomatic cognitive model, which include the ontology reduction postulates, axioms and operations of the learning construction. It is proved these operators subject to the established axiom system.ng model. Our approach aims at improving the efficiency and accuracy of the ontology.