个人数据空间中基于任务的查询框架

Yukun Li
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引用次数: 1

摘要

随着个人数据量的增加,如何让用户高效地重新查找个人数据项成为一个重要的研究课题。根据人们的一般经验,任务是对个人数据集进行分类的一种常用方法,并且经常被作为重新访问期望项的一个因素。在本文中,我们提出了一个名为TaskSpace的框架来帮助用户基于用户任务重新找到期望的数据项,并给出了TaskSpace的概念模型、基于任务的系统实现框架、任务关系识别方法和用户执行基于任务查询的接口。TaskSpace框架为用户提供了另一种重新查找个人信息的方式,并说明了一些有趣的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework towards Task-Based Query in Personal DataSpace
With increment of personal data amount, how to allow users to efficiently re-find personal data items becomes an important research issue. According to general experience of persons, task is taken as a popular way to classify personal dataset, and is often taken as a factor to re-access expected items. In this paper, we propose a framework called TaskSpace to help users re-find expected data items based on user task, and present conceptual model of TaskSpace, framework for implementing a task-based system, methods to identify task relationships and interface for users to perform task-based query. TaskSpace framework provides users an alternative way to re-find personal information, and illustrates some interesting research issues.
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