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Context based resource classification using open directory project categories

机译：基于上下文的资源分类使用打开目录项目类别

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摘要

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.
机译：人们经常搜索信息以完成他们的信息密集型任务，其中用户利用不同的信息资源来实现他们的目标。一旦用户找到有用的信息资源，他/她经常为不同的任务重用它。任务中使用的每个资源都具有具有不同方面的特定任务上下文，例如信息和物理上下文。为了理解资源用户的整体视图可能需要其内容以及上下文。随着用户个人计算机的信息的增加，与任务相关的信息资源可能存在于多个计算机上，也可能存在于各种便携式设备上。这导致上下文信息碎片导致与从已经搜索或存储的信息中搜索的后续信息相关的问题。此大型信息存储不根据用户相关信息任务的偏好进行分类。对于分类，我们利用现有的基于Web的目录。这些目录专家分类，而不是由个人信息管理系统的个人用户，他们有时可能想断言自己的类别。根据任务偏好的正确上下文分类信息资源可能会减少该特定用户的信息的过载和碎片。建议使用用户定义的任务类别中的自动上下文分类的任务基于信息管理的框架，从而从打开的目录项目类别中扩展。

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