出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Smart cities utilize Internet of Things (IoT) devices and sensors to enhance the quality of the cityservices including energy, transportation, health, and much more. They generate massivevolumes of structured and unstructured data on a daily basis. Also, social networks, such asTwitter, Facebook, and Google+, are becoming a new source of real-time information in smartcities. Social network users are acting as social sensors. These datasets so large and complexare difficult to manage with conventional data management tools and methods. To becomevaluable, this massive amount of data, known as 'big data,' needs to be processed andcomprehended to hold the promise of supporting a broad range of urban and smart citiesfunctions, including among others transportation, water, and energy consumption, pollutionsurveillance, and smart city governance. In this work, we investigate how social media analyticshelp to analyze smart city data collected from various social media sources, such as Twitter andFacebook, to detect various events taking place in a smart city and identify the importance ofevents and concerns of citizens regarding some events. A case scenario analyses the opinions ofusers concerning the traffic in three largest cities in the UAE
关键词：Internet of things; Urban data streams; Stream processing; Big data; Analytics
