Ontology driven continuous learning approach

Abstract

Learning is the act of acquiring new knowledge or updating the existing knowledge about different types of information. Human being starts the learning process with a minimal knowledge and then expands the knowledge by adding new information to the existing knowledge. Thus it is possible to model the learning process as ontology modelling process and the research has been conducted to develop an automated ontological solution for continuous learning. The solution demonstrates a system which can learn and expand the knowledge somewhat similar to a human being. The system consists of three major functions named as knowledge extraction, knowledge comparison and knowledge integration. This approach consists of two main research components. The ontology construction mechanism of the system was designed with over 60% of expected accuracy and knowledge integration can be evaluated over 75% accuracy. This system can be used as the main learning process of any application.