Pervasive ambient intelligence platforms in the iot era based on a ubiquitous user model ontology: An implementation account

This paper presents how ambient data integration is obtained in Wi-City, i.e. a project promoted by the Regional Government of Sicily that aims at supporting mobile people activities by means of intelligent applications able to generate personalized recommendations that take into account both personal and context parameters. The paper shows how this is made possible by the decreasing cost of the monitoring systems in the IOT era and by the availability of ontology engineering methods to data integration. In particular, aim of the paper is to illustrate a pervasive platform consisting of environmental sensors readily installable on the city and body sensors easily wearable by people that cooperate by means of an ambient data ontology to better support the user decisions in a smart city. Examples of how embedded consumer electronics products are used to monitor the user ambient and how developing an effective ambient data ontology are illustrated to give an implementation account of the proposed platform.