Abstract—A number of Semantic Web based system
initiatives have been emerging in various fields such as
e-governance, healthcare and e-Learning. These initiatives were
aimed at incorporating Semantic Web resources for greater
adaptability, robustness and seamless services with easy
integration of interoperable systems. Ontologies play a vital role
in the realization of Semantic Web vision. Semantic Web
initiatives based on ontology have emerged as a promising
solution to most engineering problems which occur in these
fields. However, current efforts in Semantic Web based
Educational Systems (SWBES) are focusing mainly on the
combination of two popular modalities of learning: web-based
educational systems such as e-Learning Management Systems
(e-LMS) and Artificial Intelligence in Education Systems
(AIED). This research focuses on an ontology driven approach
for a SWBES. An Incremental and Iterative Agile Methodology
(IIAM) derived from matured software engineering process
models have been used for the ontology development. This paper
explains the philosophical and engineering aspects of the newly
derived methodology. The stages and framework of the
methodology have been applied to develop an educational
ontology. Ontology organizes the learning hierarchy of Java
Programming Language
Protégé has been used as an ontology
editing tool and an appropriate descriptive language, Web
Ontology Language (OWL), was used for the customization.
Index Terms—Java programming, methodology, ontology
development, semantic web.
Santhosh John is with Middle East College, Oman (e-mail:
santhosh@mecit.edu.om).
Nazaraf Shah is with the Department of Computing, Coventry University,
UK (e-mail: aa0699@coventry.ac.uk).
Leonid Smalov is with Creative Computing in Department of Computing,
Coventry University, UK (e-mail: csx211@coventry.ac.uk).
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Cite: Santhosh John, Nazaraf Shah, and Leonid Smalov, "Incremental and Iterative Agile Methodology (IIAM): Hybrid Approach for Ontology Design towards Semantic Web Based Educational Systems Development," International Journal of Knowledge Engineering vol. 2, no. 1, pp. 13-19, 2016.
