Samuel Szoniecky & Nasreddine Bouhai 
Collective Intelligence and Digital Archives [PDF ebook] 
Towards Knowledge Ecosystems

Ajutor
Collective Intelligence and Digital Archives

DIGITAL TOOLS AND USES SET Coordinated by Imad Saleh

This book presents the most up-to-date research from different areas of digital archives to show how and why collective intelligence is being developed to organize and better communicate new masses of information.

Current archive digitization projects produce an enormous amount of digital data (Big Data). Thanks to the proactive approach of large public institutions, this data is increasingly accessible. Despite the recent stabilization of technical and legal frameworks, the use of data has yet to be enriched by processes such as collective intelligence.

By exploring the field of digital humanities, audiovisual archives, preservation of cultural heritage, crowdsourcing and the recovery of scientific archives, this book presents and analyzes concrete examples of collective intelligence for use in digital archives.
€139.99
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Cuprins

Chapter 1 Problems and solutions of collective intelligence at the service of digital archives

Chapter 2 Personal digital archives for robots mentors

Chapter 3 Tools for modeling the interpretation of Digital Archives

Chapter 4 Reconstruction of the archive by collaborative digital edition

Chapter 5 Collective construction of cultural archives

Chapter 6 Oral and digital humanities Archive

Chapter 7 Digital archives and crowdsourcing: a challenge for collective intelligence

Chapter 8 The valuation of digitized collections of natural history

Despre autor

Samuel Szoniecky is Associate Professor at the University of Paris 8, France in the Department of Digital Humanities.

Nasreddine Bouhaï is Associate Professor at the University of Paris 8, France in the Department of Digital Humanities.
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Limba Engleză ● Format PDF ● Pagini 260 ● ISBN 9781119384670 ● Mărime fișier 33.4 MB ● Editor Samuel Szoniecky & Nasreddine Bouhai ● Editura John Wiley & Sons ● Publicat 2017 ● Ediție 1 ● Descărcabil 24 luni ● Valută EUR ● ID 5045969 ● Protecție împotriva copiilor Adobe DRM
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