Hybrid context modeling: A location-based scheme using ontologies

Authors:
Ioanna Roussaki;Maria Strimpakou;Nikos Kalatzis;Miltos Anagnostou;Carsten Pils
Affiliations:
National Technical University of Athens, Greece;National Technical University of Athens, Greece;National Technical University of Athens, Greece;National Technical University of Athens, Greece;Waterford Institute of Technology, Ireland
Venue:
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Year:
2006

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Abstract

Context awareness is an inherent feature of pervasive computing. It enhances the proactiveness of the system thus requiring less user attention and fewer human-machine interactions, it supports intelligent personalization features, and it can assist the system to address the user requirements considering the current conditions. Nevertheless, in such environments, various types of context information are involved and need to be efficiently managed and maintained, soundly interpreted, rapidly processed, and securely disseminated by the system. Thus, an interoperable and flexible context representation scheme is necessary that will support efficient context interpretation and reasoning and will perform well in distributed large-scale context-aware systems. This paper is concerned with the development of a hybrid context representation scheme1 that aims to combine the maintenance, distribution and administrative facilities of a location-based context model and the semantic advantages of context ontologies.