An automatic classification system of online E-learning resources

This work focuses on how to development a categorizing system that can find the appropriate classification for on-line learning resources, which must follow some document standards, automatically. The proposed system can help users to share their creativities without the dilemma of following the standards of learning resources. The major works are learning resource classification and learning resource document matching. Learning resource classification module takes in charge of finding corresponding keywords of learning resources in the document database of the E-learning web site. The similarity of users´ uploading resources and documents in the web site document database is done by learning resource document matching. The proposed automatic categorizing system for online learning resources can suggest the appropriate classification and learning object standard information for users´ uploading resources after performing these modules.