Smart cities are characterized by their complex structures made by different dimensions (e.g., living, mobility) managed by different stakeholders (e.g., public/private administrations) that not always communicate with each other. Indeed, smart cities include a huge number of diverse aspects from different contexts, ranging from technical to societal aspects. Modeling every context is challenging but required. Towards this direction, in this paper, we present a modeling editor for smart cities realized by exploiting Model-Driven Engineering techniques. We started by designing the data analytics context, while leaving the extension to further contexts as future work. The editor shows both a graphical and textual view and is devoted to stakeholders for the design of smart city models in an intuitive and easy way.

Supporting Smart Cities Modeling with Graphical and Textual Editors

Francesco Basciani;Martina De Sanctis
2020-01-01

Abstract

Smart cities are characterized by their complex structures made by different dimensions (e.g., living, mobility) managed by different stakeholders (e.g., public/private administrations) that not always communicate with each other. Indeed, smart cities include a huge number of diverse aspects from different contexts, ranging from technical to societal aspects. Modeling every context is challenging but required. Towards this direction, in this paper, we present a modeling editor for smart cities realized by exploiting Model-Driven Engineering techniques. We started by designing the data analytics context, while leaving the extension to further contexts as future work. The editor shows both a graphical and textual view and is devoted to stakeholders for the design of smart city models in an intuitive and easy way.
File in questo prodotto:
File Dimensione Formato  
2020_STAF_WS_2707_Basciani.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 2.02 MB
Formato Adobe PDF
2.02 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/11233
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact