Context based resource classification using open directory project categories

People often search information to complete their information intensive tasks in which users make use of different information resources to achieve their goal. Once a user finds a useful information resource, he/she frequently reuses it for different tasks. Each resource used in a task has a specific task context having diverse aspects such as informational and physical context. For understanding the holistic view of a resource user may need its content as well as context. With the increase of information on users´ personal computers, information resources relating to a task may exist on more than one machine, and also on various portable devices. This results in contextual information fragmentation giving rise to issues related with subsequent information searching from already searched or stored information. This large information store is not categorized according to the preferences of the user´s related informational tasks. For categorization we exploited existing Web-based directories. These directories employ categorization by experts and not by individual users of personal information management systems who, at times, may like to assert their own categories. Proper contextual categorization of information resources according to task preferences could decrease in overload and fragmentation of information for that particular user. A framework for task based information management using automatic contextual classification of information in user defined task categories is proposed which is extended from Open Directory Project categories.