An adaptive I-Parking application: An ontology-based approach

Complex adaptive systems are in the heart of smart city operations. Developing such systems is very challenging. Current user-driven techniques for modeling the system domain are not sufficient for supporting the development of such systems. Additionally, in the majority of cases, existing work focused on user interface adaptation without considering content personalization. In this paper, we propose the use of ontologies for dealing with the adaptation issue, while taking into consideration both content and container of the interface. To this end, we extend the model that was proposed in our previous work, and that focused only on modeling the “Environment” dimension, by adding three other dimensions, namely, “Devices”, “Users”, and “Services” (EDUS). We validate our proposal on an I-Parking smart phone application that offers personalized and context-aware information to the users.

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