Context Life Cycle Management Scheme in Ubiquitous Computing Environments

In this paper, we propose a context life cycle management scheme for consistent service provision in ubiquitous computing environments. We take the different temporal characteristics of contexts into account for managing contexts. We use the ontology- based context modeling and reasoning mechanism to utilize the high-level inference capability that enables a context management system to derive a user's intention in an effective manner. Existing context management scheme, however, does not consider the temporal characteristics of contexts that represent user's intention. Therefore, it causes the context-aware service for a user to be frequently fluctuated between running and interrupted state. This phenomenon not only causes a significant overhead in the overall context management system, but also degrades user's satisfaction. To handle this problem, we apply a new life cycle scheme into our context management system. As a result, we can provide a consistent service for a user and the system does not become much affected by frequent changes of environmental contexts.

[1]  Harry Chen,et al.  An ontology for context-aware pervasive computing environments , 2003, The Knowledge Engineering Review.

[2]  James F. Allen Time and time again: The many ways to represent time , 1991, Int. J. Intell. Syst..

[3]  Tao Gu,et al.  Ontology based context modeling and reasoning using OWL , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[4]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[5]  Dongman Lee Active surroundings: a group-aware middleware for embedded application systems , 2004, Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004..

[6]  Tao Gu,et al.  A service-oriented middleware for building context-aware services , 2005, J. Netw. Comput. Appl..

[7]  Jin Song Dong,et al.  Semantic Space: an infrastructure for smart spaces , 2004, IEEE Pervasive Computing.

[8]  James F. Allen,et al.  Actions and Events in Interval Temporal Logic , 1994, J. Log. Comput..

[9]  Jerry R. Hobbs,et al.  Time in OWL-S , 2004 .

[10]  Jadwiga Indulska,et al.  Modeling Context Information in Pervasive Computing Systems , 2002, Pervasive.

[11]  Roy H. Campbell,et al.  An infrastructure for context-awareness based on first order logic , 2003, Personal and Ubiquitous Computing.

[12]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[13]  Harry Chen,et al.  Semantic Web in the context broker architecture , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[14]  David Garlan,et al.  Project Aura: Toward Distraction-Free Pervasive Computing , 2002, IEEE Pervasive Comput..

[15]  Harry Chen,et al.  Intelligent agents meet semantic web in a smart meeting room , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..