As the amount of data available in a repository increases, content retrieval from the huge data stored in the repository becomes a tedious task. Though Content Management System helps us to manage the data, yet searching the relevant data is still a daunting task. For that, we need efficient Search Algorithms for maximizing the correlation between data required and data returned by semantic search engine. Many courseware repositories is an interface through which various students, teachers, etc can access on-line learning material, course contents, presentations, videos, lectures etc. in this paper we present a technique that automatically constructs ontology from the given courseware repositories. A search engine mechanism is developed that provide a semantic search capability based on a modified TF-IDF(term frequency inverse document frequency) weighting scheme and then determines the association among term through TRapriori algorithm. We evaluate our result with custom Google search engine.

Ontology tf-idf TRApriori algorithm