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.
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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