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Knowledge-Based Smart City Service System

1
Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 SA Fisciano, Italy
2
Department of Management and Innovation Systems, University of Salerno, 84084 SA Fisciano, Italy
3
Department of Engineering, Roma Tre University, 00146 Rome, Italy
4
Department of Industrial Engineering, University of Salerno, 84084 SA Fisciano, Italy
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(6), 965; https://doi.org/10.3390/electronics9060965
Received: 13 May 2020 / Revised: 3 June 2020 / Accepted: 5 June 2020 / Published: 9 June 2020
(This article belongs to the Section Computer Science & Engineering)
A smart city can be defined as a city exploiting information and communication technologies to enhance the quality of life of its citizens by providing them with improved services while ensuring a conscious use of the available limited resources. This paper introduces a conceptual framework for the smart city, namely, the Smart City Service System. The framework proposes a vision of the smart city as a service system according to the principles of the Service-Dominant Logic and the service science theories. The rationale is that the services offered within the city can be improved and optimized via the exploitation of information shared by the citizens. The Smart City Service System is implemented as an ontology-based system that supports the decision-making processes at the government level through reasoning and inference processes, providing the decision-makers with a common operational picture of what is happening in the city. A case study related to the local public transportation service is proposed to demonstrate the feasibility and validity of the framework. An experimental evaluation using the Situation Awareness Global Assessment Technique (SAGAT) has been performed to measure the impact of the framework on the decision-makers’ level of situation awareness. View Full-Text
Keywords: smart city; ontology; service science; situation awareness; decision support system smart city; ontology; service science; situation awareness; decision support system
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MDPI and ACS Style

D’Aniello, G.; Gaeta, M.; Orciuoli, F.; Sansonetti, G.; Sorgente, F. Knowledge-Based Smart City Service System. Electronics 2020, 9, 965. https://doi.org/10.3390/electronics9060965

AMA Style

D’Aniello G, Gaeta M, Orciuoli F, Sansonetti G, Sorgente F. Knowledge-Based Smart City Service System. Electronics. 2020; 9(6):965. https://doi.org/10.3390/electronics9060965

Chicago/Turabian Style

D’Aniello, Giuseppe, Matteo Gaeta, Francesco Orciuoli, Giuseppe Sansonetti, and Francesca Sorgente. 2020. "Knowledge-Based Smart City Service System" Electronics 9, no. 6: 965. https://doi.org/10.3390/electronics9060965

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