Archives, Access and Artificial Intelligence : : Working with Born-Digital and Digitized Archival Collections.

Saved in:
Bibliographic Details
Superior document:Digital Humanities Research
:
Place / Publishing House:Bielefeld : : transcript,, 2022.
©2022.
Year of Publication:2022
Edition:1st ed.
Language:English
Series:Digital Humanities Research
Online Access:
Physical Description:1 online resource (225 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5007024728
ctrlnum (MiAaPQ)5007024728
(Au-PeEL)EBL7024728
(OCoLC)1334105643
collection bib_alma
record_format marc
spelling 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 ]
_version_ 1792331064536989697
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02454nam a22003853i 4500</leader><controlfield tag="001">5007024728</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073847.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2022 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783839455845</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9783743555846</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5007024728</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL7024728</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334105643</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jaillant, Lise.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Archives, Access and Artificial Intelligence :</subfield><subfield code="b">Working with Born-Digital and Digitized Archival Collections.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bielefeld :</subfield><subfield code="b">transcript,</subfield><subfield code="c">2022.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (225 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Digital Humanities Research</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">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).</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Jaillant, Lise</subfield><subfield code="t">Archives, Access and Artificial Intelligence</subfield><subfield code="d">Bielefeld : transcript,c2022</subfield><subfield code="z">9783743555846</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Digital Humanities Research</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7024728</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>