Georgios Palaiokrassas

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The rapid growth of social media and the ubiquitous availability of audiovisual content have transformed virtually every aspect of our personal and professional lives. In Internet-based multimedia applications users with their activity (including social life) are both the source of data and the consumers of the applications, hence being involved in the(More)
In this paper we present a recommendation service based on Neo4j graph data base which is applied in the context of smart cities application and leverages the potential of big data. The current work studies a modelling approach for user generated data combined with open big data and proceeds with the appropriate reference implementation and experimentation(More)
The paper presents an innovative Internet of Things architecture for building personalized services in the smart city context. The main blocks of the presented implementation comprise data flows implemented through Node-Red, Neo4j data store for handling the smart city big data and a recommendation service which is applied in order to offer personalized(More)
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