Section Article

Creating a hierarchical classification of knowledge using an online learning platform for universities and colleges.
Author(s): Srishti Gupta

Abstract
Higher education institutions community colleges and instructors are increasingly using electronic educational technology often referred to as e-learning portals to enhance information sharing and create a strong learning environment. Stringent controls are necessary to avoid data management and duplication of the vast volumes of data acquired by educational institutions. Data design should provide a systematic approach to exchanging and using preexisting data for this objective. The objective of this study is to develop an automated approach for constructing a taxonomy from a set of keywords which may be used for the purposes of data sharing reuse and search. The established taxonomy must be independent of any other data categorisation systems. The Bayesian Rose Tree and K-mean nearest neighbour classifier are two approaches used in the deployment of taxonomy creation. Augmenting the number of distinct values will enhance the classification precision of the data mining model. To enhance data searching efficiency the developed taxonomy and approach may be used to real-world data.