Archives, Access and Artificial Intelligence / Lise Jaillant.

Format:

Book

Author/Creator:

Jaillant, Lise, author.

Contributor:

Bell, Mark, contributor.

Donoho, David L., contributor.

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 M., contributor.

Winters, Jane, contributor.

Loughborough University, Funder.

Series:

Digital humanities research.

Digital humanities research

Language:

English

Subjects (All):

Digital libraries--Access control.

Digital libraries.

Artificial intelligence--Library applications.

Artificial intelligence.

Physical Description:

1 online resource (225 pages).

Other Title:

Archives, Access and Artificial Intelligence

Place of Publication:

Bielefeld : Bielefeld University Press, 2022.

Language Note:

In English.

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.

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)

Notes:

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

Description based on publisher supplied metadata and other sources.

ISBN:

9783839455845

3839455847

OCLC:

1312726791