Smart City Gnosys

Smart city article details

Title	Framework For The Analysis Of Smart Cities Models
ID_Doc	27044
Authors	Estrada, E; Maciel, R; Negrón, APP; López, GL; Larios, V; Ochoa, A
Year	2019
Published	TRENDS AND APPLICATIONS IN SOFTWARE ENGINEERING (CIMPS 2018), 865
DOI	http://dx.doi.org/10.1007/978-3-030-01171-0_24
Abstract	Smart cities evolution forces auto adjustments. A constant change that difficult methodologies and tools development aimed to measure and evaluate the huge number of variables involved. The Smart City metrics model is composed by its determined key performed indicators (KPI); with different aims a number of models have been proposed by different organizations, which difficult its comparison. In this paper, we propose a framework to apply Data Science to KPIs from Open Data. This framework is organized by a set of tools: a KPI tree structure; a JSON document; a web app with non-supervised or supervised knowledge for the models evaluation; and the infrastructure for reports reception and attention. In such a way that this framework creates an infrastructure that goes from the treatment of Open Data to models evaluation and its management.
Author Keywords	Data Science; JSON; Open Data; KPI; Smart City

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