Constraint-Based Context Modeling and Management for Personalized Mobile Systems
The capability of adapting to environmental changes and fulfilling specific needs of nomadic users empowers mobile devices with new value-added features. Users on the move are expecting real time and personalized services that are adjusted to their needs and that fit within their current time and space settings. Context-aware systems are distinguished by: i) their ability to profile users; ii) their awareness about device capabilities; and iii) their environmental knowledge. The availability of wireless networks supports context-aware systems through ubiquitous sensors and web services used to gather contextual information in order to offer users exceptional interactive experiences. In order to cope with information overload, collected data on the changing environmental context needs efficient management. In this research, we present a constraint-based context management system which handles efficiently complex situations in adopting a desired behaviour whenever a specific change occurs in the environment. This is accomplished through a set of knowledge-based rules which validate the consistency of the context by monitoring system constraints to trigger automatic context updates. We evaluate our dynamic context-consideration approach through real-life scenarios while comparing three consistency-validation strategies.
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