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Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections / ed. by Lise Jaillant.

Contributor(s): Material type: TextTextLanguage: English Series: Digital Humanities Research ; 2Publisher: Bielefeld : Bielefeld University Press, [2022]Copyright date: ©2022Description: 1 online resource (224 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783839455845
Subject(s): Additional physical formats: No titleOnline resources:
Contents:
Frontmatter -- Contents -- Introduction -- Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive -- Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive -- Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users -- Chapter 4: Towards Critically Addressable Data for Digital Library User Studies -- Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports -- Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities -- Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription -- AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS) -- Authors (by order of appearance in the volume)
Summary: Digital archives are transforming the Humanities and the Sciences. Digitised collections of newspapers and books have pushed scholars to develop new, data-rich methods. Born-digital archives are now better preserved and managed thanks to the development of open-access and commercial software. Digital Humanities have moved from the fringe to the centre of academia. Yet, the path from the appraisal of records to their analysis is far from smooth. This book explores crossovers between various disciplines to improve the discoverability, accessibility, and use of born-digital archives and other cultural assets.
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Frontmatter -- Contents -- Introduction -- Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive -- Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive -- Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users -- Chapter 4: Towards Critically Addressable Data for Digital Library User Studies -- Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports -- Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities -- Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription -- AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS) -- Authors (by order of appearance in the volume)

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

Digital archives are transforming the Humanities and the Sciences. Digitised collections of newspapers and books have pushed scholars to develop new, data-rich methods. Born-digital archives are now better preserved and managed thanks to the development of open-access and commercial software. Digital Humanities have moved from the fringe to the centre of academia. Yet, the path from the appraisal of records to their analysis is far from smooth. This book explores crossovers between various disciplines to improve the discoverability, accessibility, and use of born-digital archives and other cultural assets.

funded by Universität Bern

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC 4.0 license:

https://creativecommons.org/licenses/by-nc/4.0

https://www.degruyter.com/dg/page/open-access-policy

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)

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