Title :
A Framework towards Task-Based Query in Personal DataSpace
Author_Institution :
Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
Abstract :
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.
Keywords :
pattern classification; personal information systems; query processing; user interfaces; TaskSpace framework; data item reaccess; personal data item; personal dataset classification; personal dataspace; task relationship identification; task-based query framework; task-based system; user interface; user task; Conferences; Correlation; Electronic mail; Information management; Monitoring; Query processing; Semantics; Framework; Personal DataSpace; Task;
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2011 Seventh International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1323-1
DOI :
10.1109/SKG.2011.25