Mobile devices have become a new way to access information and consume services on the Internet everywhere. This mobile environment is quite different from a desktop one (e.g. the screen is smaller, lower computing power, the user is usually on route while consuming services), so the requested information has to be customized in order to increase the satisfaction of the users and fulfil their needs on the move. This process can be performed gathering context information about the user, stored in the mobile device or offered by embedded sensors (e.g. GPS). This paper presents a mobile framework that provides the needed functionalities in order to acquire, unify, model and manage context data coming from mobile devices. The validation of the framework by means of an implementation of a real use case scenario is also discussed.
['David Martín', 'Carlos Lamsfus', 'Aurkene Alzua']
Mobile Context Data Management Framework