Urban Information Integration Through Smart City Views

Obtaining a tailored and integrated information about events and points of interest of an urban area is becoming a major challenging issue for users like citizens and tourists that aim at effectively enjoying the urban life initiatives. In this paper, we propose a comprehensive approach for urban information integration based on: i) similarity clusters, to aggregate web contents with different nature but similar topic; ii) smart city views, to package and deliver tailored cluster contents to the final users filtered according to user interest, geo-location, and time-based criteria, and iii) crowdsourced recommendations, to highlight the city view contents based on event freshness and popularity.