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In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices, collected by smart city applications and socially-aware data aggregation services. A large set of city applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout participating cities is being applied, resulting into produced sets of millions of user-generated events and online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating algorithmic and configurations to minimize delays in dataset processing and results retrieval.

In this paper we present the RADICAL platform, a software stack that enables the combination of social network (SN) services and Internet of Things (IoT) in the context of innovative smart cities. RADICAL makes possible the development and deployment of interoperable pervasive multi-sensory and socially-aware services; facilitates smart governance and flexible replication of services across cities and regions through a Virtual Machine generation mechan-ism in a sophisticated cloud environment. A large scale piloting of the platform integrates, deploys and tests various services in the areas of Cycling Safety, Participatory Urbanism, Augmented Reality and others while a large group of citizens from different countries are actively involved in the co-creation, validation and evaluation of the RADICAL approach on the basis of an innovative Living Labs approach.

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