By Topic

An adaptive semantic approach to personal information management

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
G. Kratkiewicz ; Dept. of Distributed Syst. & Logistics, BBN Technol., Cambridge, MA, USA ; G. Mitchell

It is becoming increasingly difficult for knowledge workers to keep track of what they know and to organize their knowledge such that it can be retrieved, annotated, changed, and augmented. Most knowledge workers manage their personal information flow via their email client, Web browser, and the Windows file system. While user interfaces may have improved over time, the information management capability has not appreciably advanced. These systems do not understand the information they contain, so are unable to help the user manage it. The goal of the effort described here is to better help knowledge workers understand, manage, and use the overwhelming amount of information they receive and store. Two key features of this approach are capturing the basic semantic relationships of the user's personal information, and building intelligent tools to assist with the capture and management of these relationships.

Published in:

Systems, Man and Cybernetics, 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

10-13 Oct. 2004