One automatic cataloging flow: tests and first results

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dc.audienceAudience::Cataloguing Sectionen_US
dc.audienceAudience::Information Technology Sectionen_US
dc.audienceAudience::Subject Analysis and Access Sectionen_US
dc.contributor.authorLowagie, Hannes
dc.coverage.spatialLocation::Belgiumen_US
dc.date.accessioned2023-07-25T11:14:14Z
dc.date.available2023-07-25
dc.date.available2023-07-25T11:14:14Z
dc.date.issued2023-07-25
dc.description.abstractIn this paper we want to discuss the development and the first tests of a Power Automate flow with integrated AI-builder. The presented flow aims to address the challenges that cataloguers face in describing the ever-increasing amount of (digital) resources. This project proposes an innovative solution for automating the bibliographic description process, which includes metadata recognition, automatic subject indexing, and linking with other databases. The impact of this tool on cataloguers' tasks and professional practices will also be explored. The flow significantly reduces the time and effort required for cataloguing, freeing up cataloguers' time to focus on other essential tasks. Italso improves the accuracy and consistency of bibliographic descriptions, thereby reducing errors and inconsistencies in library records. The Power Automate flow is designed to comply with established metadata standards, ensuring that bibliographic descriptions are consistent and interoperable across different systems. The end result of the flow is a Marc21xml that can be imported in our Library Management System. In conclusion, this paper provides a practical solution to the challenges faced by cataloguers in managing and describing resources. The Power Automate flow has the potential to significantly improve cataloguers' workflows. Keywords: Cataloging, Power Automate, Artifical Intelligence, workflow automation, metadata managementen_US
dc.identifier.urihttps://2023.ifla.org/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/2686
dc.language.isoenen_US
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.relation.ispartofseries88th IFLA World Library and Information Congress (WLIC), 2023 Rotterdam;
dc.rights.holderHannes Lowagieen_US
dc.rights.licenseCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSubject::Cataloguingen_US
dc.subjectSubject::Automationen_US
dc.subjectSubject::Artificial intelligenceen_US
dc.subjectSubject::Metadataen_US
dc.titleOne automatic cataloging flow: tests and first resultsen_US
dc.typeEvents Materialsen_US
ifla.UnitUnits::Section::Cataloguing Sectionen_US
ifla.UnitUnits::Section::Information Technology Sectionen_US
ifla.UnitUnits::Section::Subject Analysis and Access Sectionen_US
ifla.oPubId0en_US

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