Content-Based Tag Generation for the Grouping of Tags

Abstract

A tagging system can encounter too few or too many tags. To solve these problems, we propose a content-based automatic generation of tags. Applied to an e-Learning 2.0 application, the proposal creates tags based on lecture slide contents, generating an adequate number of tags so as to allow the tagging system to start up effectively. It also lets student users to group tags. The tag grouping by relations yields more meaningful tag retrieval in the many tags case. This tag-based indexing of lecture slides provides better learning experience to students in studying lecture slides.