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The PERISCOPE Data Atlas: A Demonstration of Release v1.2

Conference Paper
Publication Date:
2022
abstract:
The Data Atlas is the centerpiece of the PERISCOPE project’s data-driven research. The Atlas constitutes a centralized access point for the exploration, visualization and analysis of the original data produced by PERISCOPE partners, integrated with the most relevant information about the COVID-19 pandemic and its effects on health, economics, policy-making, and society at large. The Atlas interfaces and tools make such data readily available to the research community, decision makers and the general public, providing the means to amplify its reach and impact. The present demo, showcases the features of v1.2 release of the Atlas, 18 months from the project kick-off, and some of the planned enhancements to be delivered until project month 24.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
COVID-19; Data integration; Data warehouse; GIS; Impact; Ontology; Pandemic; Policy
List of contributors:
Parimbelli, E.; Larizza, C.; Urosevic, V.; Pogliaghi, A.; Ottaviano, M.; Cheng, C.; Benoit, V.; Pala, D.; Casella, V.; Bellazzi, R.; Giudici, P.
Authors of the University:
BELLAZZI RICCARDO
CASELLA VITTORIO MARCO
GIUDICI PAOLO STEFANO
LARIZZA CRISTIANA
OTTAVIANO MANUEL
PARIMBELLI ENEA
Handle:
https://iris.unipv.it/handle/11571/1462045
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007/978-3-031-09342-5_41
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