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

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

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Bibliographische Detailangaben
Weitere Verfasser:	Jaillant, Lise
Format:	Buch
Veröffentlicht:	Bielefeld : Bielefeld University Press; transcript, 2022
Schriftenreihe:	Digital Humanities Research Volume 2
Schlagworte:	Digitales Archiv Digitale Daten Digital Humanities
Inhalte/Bestandteile:	8 Datensätze

1. Web Archives and the Problem of Access : Prototyping a Researcher Dashboard for the UK Government Web Archive

2. Afterword: Towards a new Discipline of Computational Archival Science (CAS)

3. Towards Critically Addressable Data for Digital Library User Studies

4. Inviting Al into the Archives : The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription

5. Supervised and Unsupervised : Approaches to machine Learning for Textual Entities

6. Design Thinking, UX and Born-digital Archives : Solving the Problem of Dark Archives Closed to Users

7. Artificial Intelligence and Discovering the Digitized Photoarchive

8. Reviewing to Reviewers : Training Neural Networks to Read Peer Review Reports