Generating Metadata With AI - Experience of the National Library of the Netherlands

This presentation was given in the series 'Library Science Talks': The Zentralbibliothek Zürich, the Association of International Librarians and Information Specialists (AILIS) and the CERN Scientific Information Service annually organise the Library Science Talks. The series of events offers library and archive staff the opportunity to learn from and exchange ideas with well-known personalities from the world of libraries, archives and information services. See https://www.zb.uzh.ch/de/ueber-uns/veranstaltungen-reihen/library-science-talks 16 June 2020: Sara Veldhoen, KB, national library of... Mehr ...

Verfasser: Veldhoen, Sara
Kleppe, Martijn
Dokumenttyp: lecture
Erscheinungsdatum: 2020
Schlagwörter: AI / Bibliographic metadata / Library / Subject indexing / Author attribution
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27234201
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://zenodo.org/record/3899723

This presentation was given in the series 'Library Science Talks': The Zentralbibliothek Zürich, the Association of International Librarians and Information Specialists (AILIS) and the CERN Scientific Information Service annually organise the Library Science Talks. The series of events offers library and archive staff the opportunity to learn from and exchange ideas with well-known personalities from the world of libraries, archives and information services. See https://www.zb.uzh.ch/de/ueber-uns/veranstaltungen-reihen/library-science-talks 16 June 2020: Sara Veldhoen, KB, national library of the Netherlands Generating Metadata With AI - Experience of the National Library of the Netherlands Abstract: At the KB, national library of the Netherlands, we have been experimenting with automated tools to improve bibliographical metadata processes. So far, we have focused on subject headings (from a controlled thesaurus) and author attribution (matching with authority files), tasks that require a lot of manual work from our cataloguing department. We're developing a web application that empowers the workers by filtering out irrelevant information and present substantiated suggestions.