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conference paper

The Venice Time Machine

Kaplan, Frédéric  
Vanoirbeek, Christine  
•
Genevès, Pierre
2015
Proceedings of the 2015 ACM Symposium on Document Engineering
ACM Symposium on Document Engineering

The Venice Time Machine is an international scientific programme launched by the EPFL and the University Ca’Foscari of Venice with the generous support of the Fondation Lombard Odier. It aims at building a multidimensional model of Venice and its evolution covering a period of more than 1000 years. The project ambitions to reconstruct a large open access database that could be used for research and education. Thanks to a parternship with the Archivio di Stato in Venice, kilometers of archives are currently digitized, transcribed and indexed setting the base of the largest database ever created on Venetian documents. The State Archives of Venice contain a massive amount of hand-written documentation in languages evolving from medieval times to the 20th century. An estimated 80 km of shelves are filled with over a thousand years of administrative documents, from birth registrations, death certificates and tax statements, all the way to maps and urban planning designs. These documents are often very delicate and are occasionally in a fragile state of conservation. In complementary to these primary sources, the content of thousands of monographies have been indexed and made searchable.

  • Details
  • Metrics
Type
conference paper
DOI
10.1145/2682571.2797071
Author(s)
Kaplan, Frédéric  
Editors
Vanoirbeek, Christine  
•
Genevès, Pierre
Date Issued

2015

Publisher

ACM

Publisher place

New York

Published in
Proceedings of the 2015 ACM Symposium on Document Engineering
Subjects

Venice Time Machine

•

Historical GIS

•

Massive digitisation

•

Big data

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
DHLAB  
Event nameEvent placeEvent date
ACM Symposium on Document Engineering

Lausanne, Switzerland

September 08 - 11, 2015

Available on Infoscience
January 8, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/122091
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