Home // International Journal On Advances in Internet Technology, volume 2, numbers 2 and 3, 2009 // View article

Individual and Social Recommendations for Mobile Semantic Personal Information Management

Authors:
Wolfgang Woerndl
Georg Groh
Aleksandar Hristov

Keywords: personal information management, semantic desktop, social filtering, mobile, context

Abstract:
We present an approach for personal information management for mobile devices like PDAs based on the Semantic Desktop. The main objective is to design and realize a recommendation system to identify interesting items (e.g. messages or documents) based on the current context (time and location) and a user’s personal ontology. To do so, our algorithm uses an evaluation function to traverse the graph of resources and rank nodes. Relevant resources and other items such as points-of-interests can also be displayed on a map on the mobile device. The ideas have been implemented and (rudimentarily) tested in the “SeMoDesk” application. Furthermore we introduce the extension of this application with the respect of social computing by a social information item filtering approach. The social filtering allows for the integration of other user’s information spaces and makes use of a special bootstrapping algorithm for the integration of heterogeneous ontological perspectives.

Pages: 215 to 226

Copyright: Copyright (c) to authors, 2009. Used with permission.

Publication date: December 1, 2009

Published in: journal

ISSN: 1942-2652