Weighted ontology for subject search in Learning Content Management System

Learning Content Management System (LCMS) is a powerful tool for supporting distance learning. One of the LCMS development problems is subject searching. Most users have no idea about subject name of what they are looking for. They only know about subject contents. Nowadays, search engine embedded with LCMS gives result based on string matching keyword based. Precision and recall of this method is low. This research proposes subject name search based on document content using weighted ontology. Ontology is built from extracted term. Each term is given a weight based on the number of its relation. User query is expanded based on its synonym in WordNet. It is also weighted and taken into account of its similarity with course ontology. System retrieves similar or same subjects based on user query. Precision and recall of weighted ontology search result is better than string matching keyword search.