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Collective Intelligence and Digital Archives: Towards Knowledge Ecosystems [Hardcover]

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  • Category: Books (Computers)
  • Author:  Szoniecky, Samuel
  • Author:  Szoniecky, Samuel
  • ISBN-10:  1786300605
  • ISBN-10:  1786300605
  • ISBN-13:  9781786300607
  • ISBN-13:  9781786300607
  • Publisher:  Wiley-ISTE
  • Publisher:  Wiley-ISTE
  • Pages:  260
  • Pages:  260
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2017
  • Pub Date:  01-May-2017
  • SKU:  1786300605-11-MPOD
  • SKU:  1786300605-11-MPOD
  • Item ID: 104559546
  • List Price: $165.00
  • Seller: ShopSpell
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  • Delivery by: Oct 10 to Oct 12
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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.

Chapter 1 Ecosystems of Collective Intelligence in the Service of Digital Archives 1
Samuel SZONIECKY

1.1 Digital archives 1

1.2 Collective intelligence 3

1.3 Knowledge ecosystems 5

1.4 Examples of ecosystems of knowledge 7

1.4.1 Modeling digital archive interpretation 7

1.4.2 Editing archives via the semantic web 10

1.4.3 A semantic platform for analyzing audiovisual corpuses 12

1.4.4 Digital libraries and crowdsourcing: a state-of-the-art 14

1.4.5 Conservation and promotion of cultural heritage 16

1.4.6 Modeling knowledge for innovation 18

1.5 Solutions 20

1.6 Bibliography 21

Chapter 2 Tools for Modeling Digital Archive Interpretation 23
Muriel LlCM