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Scientific Article details

Title An Integrated Smart City Platform
ID_Doc 45328
Authors Nesi, P; Po, L; Viqueira, JRR; Trillo-Lado, R
Title An Integrated Smart City Platform
Year 2018
Published
DOI 10.1007/978-3-319-74497-1_17
Abstract Smart Cities aim to create a higher quality of life for their citizens, improve business services and promote tourism experience. Fostering smart city innovation at local and regional level requires a set of mature technologies to discover, integrate and harmonize multiple data sources and the exposure of effective applications for end-users (citizens, administrators, tourists ...). In this context, Semantic Web technologies and Linked Open Data principles provide a means for sharing knowledge about cities as physical, economical, social, and technical systems, enabling the development of smart city services. Despite the tremendous effort these communities have done so far, there exists a lack of comprehensive and effective platforms that handle the entire process of identification, ingestion, consumption and publication of data for Smart Cities. In this paper, a complete open-source platform to boost the integration, semantic enrichment, publication and exploitation of public data to foster smart cities in local and national administrations is proposed. Starting from mature software solutions, we propose a platform to facilitate the harmonization of datasets (open and private, static and dynamic on real time) of the same domain generated by different authorities. The platform provides a unified dataset oriented to smart cities that can be exploited to offer services to the citizens in a uniform way, to easily release open data, and to monitor services status of the city in real time by means of a suite of web applications.
Author Keywords Data integration; Open data; Linked data; Smart city platform; Smart Cities; Ontology
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000432622100017
WoS Category Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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