Abstract:
Human being starts the learning process with a minimal knowledge and then constructs
the knowledge by adding new contents or updating the existing knowledge. The
research ‘Ontological solution for enabling Continuous Learning’ provides an approach,
which can learn and expand the knowledge somewhatsimilarto a human being. Human
knowledge is constructed by gathering totally new concepts or expanding the already
existing content. People have identified the importance of intelligent machines which
can learn and behave as human beings. Intelligent and advanced systems have become
popular with the development and rapid changes of the technology. Knowledge
representation and updating can be defined as a most crucial requirement in intelligent
systems. Knowledge management researches focus on the development of concepts,
methods, and tools supporting the management of human knowledge. In most of the
intelligent systems, knowledge representation and knowledge updating processes are
done by a human expert and there is no proper way to represent and update knowledge
in an automated way without human involvement. Knowledge representation via
ontology can be introduced as a most popular approach to represent and manipulate
knowledge. ‘Ontological solution for enabling Continuous Learning’ can be defined as
an automated knowledge acquisition mechanism by constructing ontology and
integrating two or more ontology. The research reveals a mechanism to update the
existent knowledge by comparing and integrating new knowledge. This thesis is meant
to delineate the background, research review, functions and features ofthe research. It
further explained the purpose, literature, approach, methodology, evaluation of the
research, the constraints under which it must operate, conclusion and benefits of the
research. The software is endowed with inventions involving in knowledge
representation via ontology, which are still under research. Knowledge extraction,
knowledge comparison, knowledge representation and knowledge integration can be
defined as the main functions of the system. This solution can be used as the main
learning process of any application and the knowledge will be easily manipulated in
any intelligent system by embedding this ontology based solution.
