Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4711
Title: InContext - Interaction and Context-based Technologies for Collaborative Teams
Authors: Melchiorre, Christian
Reiff-Marganiec, Stephan
Yu, Hong Qing
Shall, Daniel
Dustdar, Schahram
First Published: 2008
Publisher: IOS Press, Amsterdam
Citation: Collaboration and the Knowledge Economy: Issues, Applications, Case Studes / eds. Paul Cunningham and Miriam Cunningham.
Abstract: Much of today’s teamwork is based on collaborative working environments (CWEs). These are supporting team members participating in multiple projects at the same time, with the work spanning multiple organisations and the team members working on the move. Virtual, nimble, and mobile teams evolve and merge reflecting the vibrant nature of human interactions. For such teamwork to be supported by computing, flexible, context-aware collaboration services are required. Collaboration environments need to exhibit capabilities for large-scale interactions, peer-to-peer communication, and dynamically adapting software services to enable efficient collaboration. In this paper we discuss how the new techniques and algorithms for relevance-based service aggregation and context-aware service provisioning developed in the inContext project enable dynamic collaboration.
Series/Report no.: Information and Communication Technologies and the Knowledge Economy
Vol.5
ISBN: 9781586039240
Links: http://www.iospress.nl/
http://hdl.handle.net/2381/4711
Type: Conference paper
Description: This is the author's final draft of the paper published in : Collaboration and the Knowledge Economy: Issues, Applications, Case Studies, Volume 5 - Information and Communication Technologies and the Knowledge Economy / edited by Paul Cunningham and Miriam Cunningham, published by IOS Press, Amsterdam, 2008. This publication is available from http://www.iospress.nl/
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

Files in This Item:
File Description SizeFormat 
eChallenges08.pdf159.4 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.