Context-aware mobile services adaptation to dynamic resources. Application to mHealth

Abstract

Advanced mobile devices increasingly provide innovative services and applications that can be accessed anywhere and anytime. The actual challenge is to take into account the dynamically changing conditions of the heterogeneous resources (equipments, data sources, services, etc) required for providing in ubiquitous environments an optimized, self-adaptive and personalized task management according to the context of use. In addition, the constantly changing availability and capabilities of these distributed resources make the discovery and mobilization of the appropriate resources required by user tasks difficult. In this paper, we propose a framework based on ontological models, object oriented components, a rule base, and an inference engine, to support services and applications operation in mobile systems. We also present an application example from the mobile health (mHealth) field to demonstrate how the proposed framework can support resources discovering according to user tasks specifications and environment conditions as well as to the accessibility and usability of the discovered resources.