Archives, Access and Artificial Intelligence : : Working with Born-Digital and Digitized Archival Collections.
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Superior document: | Digital Humanities Research |
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Place / Publishing House: | Bielefeld : : transcript,, 2022. ©2022. |
Year of Publication: | 2022 |
Edition: | 1st ed. |
Language: | English |
Series: | Digital Humanities Research
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Online Access: | |
Physical Description: | 1 online resource (225 pages) |
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(MiAaPQ)5007024728 (Au-PeEL)EBL7024728 (OCoLC)1334105643 |
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Jaillant, Lise. Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. 1st ed. Bielefeld : transcript, 2022. ©2022. 1 online resource (225 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Digital Humanities Research Cover -- 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). Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Print version: Jaillant, Lise Archives, Access and Artificial Intelligence Bielefeld : transcript,c2022 9783743555846 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7024728 Click to View |
language |
English |
format |
eBook |
author |
Jaillant, Lise. |
spellingShingle |
Jaillant, Lise. Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. Digital Humanities Research Cover -- 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). |
author_facet |
Jaillant, Lise. |
author_variant |
l j lj |
author_sort |
Jaillant, Lise. |
title |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
title_sub |
Working with Born-Digital and Digitized Archival Collections. |
title_full |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
title_fullStr |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
title_full_unstemmed |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
title_auth |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
title_new |
Archives, Access and Artificial Intelligence : |
title_sort |
archives, access and artificial intelligence : working with born-digital and digitized archival collections. |
series |
Digital Humanities Research |
series2 |
Digital Humanities Research |
publisher |
transcript, |
publishDate |
2022 |
physical |
1 online resource (225 pages) |
edition |
1st ed. |
contents |
Cover -- 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). |
isbn |
9783839455845 9783743555846 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7024728 |
illustrated |
Not Illustrated |
oclc_num |
1334105643 |
work_keys_str_mv |
AT jaillantlise archivesaccessandartificialintelligenceworkingwithborndigitalanddigitizedarchivalcollections |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5007024728 (Au-PeEL)EBL7024728 (OCoLC)1334105643 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Digital Humanities Research |
is_hierarchy_title |
Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections. |
container_title |
Digital Humanities Research |
marc_error |
Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ] |
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1792331064536989697 |
fullrecord |
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