Paper 137 (In-Use track)

User-centered Data Exploration for Smart Cities

Author(s): Devis Bianchini, Valeria De Antonellis, Massimiliano Garda, Michele Melchiori

Abstract: A smart city urban cockpit should enable citizens to access the information of interest, while Public Administration (PA) should extract useful insights to be transformed into actions aimed to improve the quality of life in the city. Research challenges concern the study of methods and techniques to extract information and actionable insights from the large amounts of data as collected from multiple, heterogeneous sources about energy consumptions, garbage collection, level of pollution, citizens’ safety and security. In this context, semantic web technologies are generally used to improve access and enable interoperability in practice. In this paper, we propose an ontology-based framework apt to support users by personalized data exploration, taking into account both their profile and activities. In fact, major novel contribution of the framework is the capability of associating users’ profiles and activities with indicators, that can provide relevant information to take decisions in users’ daily life and stimulate their virtuous behaviour.
The framework is composed of: (i) a Smart Living Ontology, to provide a flexible representation of smart city indicators; (ii) an Ontology-based Semantic Layer, to support user-centered indicators selection for data exploration; (iii) a Smart City Dashboard, to be used by different categories of Smart City users to visualise indicators values and take decisions.

Keywords: ontology modeling; ontology-enabled exploration; data exploration; Smart City

Decision: reject

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