Archives, Access and Artificial Intelligence

Archives, Access and Artificial Intelligence

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. Digita...

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Bibliographic Details
Corporate Author: Loughborough University funder (funder)
Other Authors: Jaillant, Lise, author (author), Bell, Mark, contributor (contributor), Donoho, David L., contributor (editor), Eve, Martin Paul, contributor, Gadie, Robert, contributor, Gooding, Paul, contributor, Han, X.Y., contributor, Hodel, Tobias, contributor, Jaillant, Lise, contributor, Jaillant, Lise, editor, Johnson, C. Richard, contributor, Marciano, Richard, contributor, Odeniyi, Victoria, contributor, Papyan, Vardan, contributor, Parvin, Shahina, contributor, Prokop, Ellen, contributor, Storrar, Tom, contributor, Terras, Melissa, contributor, Winters, Jane, contributor
Format: eBook
Language:Inglés
Published: Bielefeld : Bielefeld University Press 2022.
Series:Digital humanities research.
Subjects:
Digital libraries > Access control.
Artificial intelligence > Library applications.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009794908706719
Table of 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)

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