Author : Shilpa P Patil and Devaraj Verma C

In our daily lives, organizing resources like books or webpages into a set of categories to ease future access is a common task. The usual largeness of these collections requires a vast endeavour and an outrageous expense to organize manually. As an approach to effectively produce an automated classification of resources, consider the immense amounts of annotations provided by users on social tagging systems in the form of bookmarks. This project deal with the utilization of user provided tags to perform a social classification of resources. Those resources are accompanied by categorization data from sound expert-driven taxonomies. We analyse different representations using tags and compare to other data sources by using different settings of SVM classifiers. Finally, we explore combinations of different data sources with tags using classifier committees to best classify the resources.

Keywords: Social Tagging, Social Annotations, Classification, SVM, Metadata.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)