IMPLEMENTATION OF TAXONOMY APPROACH FOR SEARCHING LEARNING RESOURCE

E-learning has become the common medium of sharing the content of lessons for
learning purposes. Since the growth of e-learning usage has become wider, e-learning has
evolved to be more complex and it combines lots of features to stimulate learning
process. The purpose of this project is to implement the taxonomy based search for
learning resources. Current searching method in e-learning only limits the searching to
only one particular subject or element. Implementation of taxonomy based search will
allow students to search through the site by using a single keyword. Search results then
classified based on taxonomy tree developed. The system presents the search results
differently depends on the nature of information of every category. To implement this
project, Moodie is used as the e-learning model. The searching is based on Moodie
database. Besides, summary of search results is provided in this system to represent
search results in statistical data. The implementation of taxonomy approach for searching
in Moodie is a better approach compared with the current searching approach. Taxonomy
tree helps user to anticipate the search results for each nodes.