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.
Index Terms—Knowledge, learning, ontology.
Dakshi T. K. Geeganage was with the Universtiy of Moratuwa, Sri Lanka.
She is now with Sri Lanka Institute of Information Technology, Sri Lanka
(e-mail: dakshi.g@sliit.lk).
Asoka S. Karunananda was with the University of Moratuwa, Sri Lanka.
He is now with Sir John Kotelawala Defence University, Sri Lanka (e-mail:
asokakaru@yahoo.com).
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Cite: Dakshi T. K. Geeganage and Asoka. S. Karunananda, "Ontology Driven Continuous Learning Approach," International Journal of Knowledge Engineering vol. 1, no. 1, pp. 37-42, 2015.
