Interaction and Context Based Technologies for Collaborative Teams

01.05.2006 - 31.01.2009

Research funding project

Knowledge Workers are increasingly involved in new kinds of organizational structures and work interaction patterns that require highly dynamic forms of collaboration, ranging from Nimble (short-lived) to Virtual and Mobile/Nomadic Teams. Teams morph from one kind of organizational structure to another. In most cases, workers engage in many such teams simultaneously and require support from adequate software services. To meet the requirements of dynamic, multiform team working, current Internet-based Collaboration Working Environments must evolve towards large-scale, loosely-coupled, trusted service-oriented systems, with increased emphasis on P2P capabilities. InContext will develop a novel scientific approach focussed on a new blend of human collaboration and service-oriented systems that explores two basic research strands: efficient and effective support for human interactions and collaboration in various teams through dynamically aggregated software services; use of human-to-human or human-to-service interactions in applying intelligent mining and learning algorithms that can detect interaction patterns for pro-active service aggregation. In addressing these issues, inContext will explore novel techniques and algorithms for mining human activities and providing context-relevant services, at the right time and granularity, to human interaction partners in those various team forms. To this end, relevance-based context representation models and autonomic service adaptation methods for context-coupling and enrichment will be developed.

People

Project leader

Schahram Dustdar (E184)

Project personnel

Institute

E184 - Institute of Information Systems

Grant funds

European Commission (EU) 6.FP: INNOVATION - Research and innovation 6.Rahmenprogramm für Forschung European Commission - Framework Programme European Commission Call identifier FP6-2005-IST-5 Application number 034718

Research focus

Distributed and Parallel Systems: 100%

Keywords

German	English
context-relevante Services	context-relevant services
context-Repräsentationsmodelle	context representation models

Publications

Publications