- Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
- Edited by Stefano Selleri, Alberto Tesi, Enrico Vicario
Da Big Data Analytic ai Data Models e Digital Twin
- Paolo Nesi
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0975-5.32
In the early 2000s, the rapid growth of data—driven by European Open Data policies, IoT/IoE, and digital platforms—created new opportunities for knowledge extraction. The DISIT Lab at the University of Florence shifted its research toward Big Data analytics, AI, and smart city systems. Key achievements include the Km4City knowledge model and the Snap4City platform, enabling data-driven decision support, smart mobility, urban analytics, and digital twin solutions for cities.
- Keywords:
- Big Data Analytics,
- Smart Cities,
- Artificial Intelligence,
University of Florence, Italy - ORCID: 0000-0003-1044-3107
Chapter Information
Chapter Title
Da Big Data Analytic ai Data Models e Digital Twin
Authors
Paolo Nesi
Language
Italian
DOI
10.36253/979-12-215-0975-5.32
Peer Reviewed
Publication Year
2026
Copyright Information
© 2026 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
Book Subtitle
Ingegneria dell’Informazione - Volume 2
Editors
Stefano Selleri, Alberto Tesi, Enrico Vicario
Peer Reviewed
Number of Pages
230
Publication Year
2026
Copyright Information
© 2026 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0975-5
ISBN Print
979-12-215-0974-8
eISBN (pdf)
979-12-215-0975-5
Series Title
Dialoghi con la società
Series ISSN
2975-0210
Series E-ISSN
2975-0334