Abstract

The usage of electronic educational technology also known as e-learning portals is becoming more prevalent among educational institutions such as schools colleges universities and even individual teachers in order to establish a learning ecosystem via the sharing of knowledge. Because educational institutions amass a vast quantity of information it is essential that they efficiently reduce data management and data duplication. In order to accomplish this goal data architecture should provide a methodical approach to reusing and sharing the data that is already available. In this work a taxonomy is generated automatically from a list of keywords for the purpose of data sharing reuse and data search. The taxonomy that is produced should be independent from any other classifications of data. Bayesian Rose Tree and K-mean closest neighbor classifier are two deployment methods that are used in the construction of taxonomy. This is done in order to ensure that the number of discrete values