  The current learning systems typically lack the level of metacognitive
awareness, self-directed learning, and time management skills. Most of the
ontologically based learning management systems are in the proposed phase and
those which are developed do not provide the necessary path guidance for proper
learning. The systems available are not as adaptive from the viewpoint of the
learner as required. Ontology engineering has become an important pillar for
knowledge management and representation in recent years. The design, approach,
and implementation of ontology in e-learning and m-learning systems have made
them more effective. In this paper, we have proposed a system for the
betterment of knowledge management and representation of associated data as
compared to the previously available learning management systems. Here, we have
presented the application and implementation of ontological engineering
methodology in the Computer Science domain. For knowledge management, we have
created a domain associated ontology which represents knowledge of a single
domain. Subsequently, ontology has been created to manage a learner profile so
that a learner may be aligned to a proper path of learning. The learner
ontology will use the VARK learning model which classifies what kind of
learning does the learner requires so that necessary resources could be
provided.
