DocumentCode
2551682
Title
Semantic Web Approach to Personal Information Management on Mobile Devices
Author
Lassila, Ora
Author_Institution
Nokia Res. Center, Cambridge, MA
fYear
2008
fDate
4-7 Aug. 2008
Firstpage
601
Lastpage
607
Abstract
In this paper, we will adopt the Semantic Web as our representational basis, and present some results of applying this approach in the context of mobile devices. Underlying the discussion is a desire to ask (and answer) some "deep" questions about our use of information technology.Personal Information Management, with its new, expanded scope, is now almost synonymous with "personal computing". Not only does PIM now cover a broader spectrum of data (some directly personal, some indirectly via social connections, etc.), but also the variety of devices on (and through) which the users manipulate their personal data has grown, and most users have several devices that they use regularly. This introduces great challenges to how we build PIM systems,starting from various data management and representation issues and spanning through to user interaction problems. Mobile devices are becoming ubiquitous, and with their increased performance and various ways of sensing their environment, they are better and better suited to building increasingly capable PIM systems. Naturally, the ultimate goal is not PIM per se, but rather to realize technology that can help users by simplifying their everyday lives.
Keywords
mobile computing; personal information systems; semantic Web; PIM; mobile devices; personal computing; personal information management; semantic Web; Application software; Artificial intelligence; Computer vision; Humans; Information management; Mobile computing; Semantic Web; Software systems; Technology management; USA Councils; Mobile Computing; Personal Information Management; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing, 2008 IEEE International Conference on
Conference_Location
Santa Clara, CA
Print_ISBN
978-0-7695-3279-0
Electronic_ISBN
978-0-7695-3279-0
Type
conf
DOI
10.1109/ICSC.2008.83
Filename
4597254
Link To Document