Technical Reports - DIT-04-006
Marco Ronchetti, Diego Sona, Paramjeet Saini
Abstract:Abstract: Over the past decades we have seen the exponential growth of learning resources on the web, with thousands of documents easily available. As the availability of learning resources increases, the difficulty to find required and relevant learning resources becomes more and more apparent. We believe that hierarchical organization of web learning resources, according to some predefined concept hierarchy, could solve the above mentioned problem up to some extent. Manual classification of learning resources is a tedious task, and mechanism to automate classification process is in high demand. This paper discusses the approach we have designed for the automatic classification of computer science learning resources.