Applying Language Models for Knowledge Organization System Maintenance and Development: Approaching Roles and Competencies for Editorial Review Boards

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dc.audienceAudience::Advisory Committee on Standards
dc.audienceAudience::Accessibility Metadata Network
dc.audienceAudience::Bibliographic Conceptual Models (BCM) Review Group
dc.audienceAudience::Bibliography Section
dc.audienceAudience::Cataloguing Section
dc.audienceAudience::International Standard Bibliographic Description (ISBD) Review Group
dc.audienceAudience::Metadata Technical Sub-Committee (METATEC)
dc.audienceAudience::Subject Analysis and Access Section
dc.audienceAudience::UNIMARC Committee
dc.contributor.authorKempf, Andreas Oskar
dc.coverage.spatialGreece
dc.date.accessioned2025-06-06T11:47:25Z
dc.date.available2025-06-06T11:47:25Z
dc.date.issued2025-03-19
dc.description.abstractAt the IFLA 2025 symposium in Athens, this “Competencies Matters” presentation explores how AI is reshaping the maintenance of knowledge organization systems like thesauri. As manual subject indexing declines, new machine-assisted workflows and skills are needed. The ZBW – Leibniz Information Centre for Economics shares its first experience evaluating AI-generated vocabulary for its Thesaurus for Economics, highlighting the editorial approach, initial findings, and emerging competency requirements.
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/4049
dc.language.isoen
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)
dc.rights.holderAndreas Oskar Kempf
dc.rights.licenseCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectKnowledge management
dc.subjectConceptual models
dc.subjectInformation systems
dc.titleApplying Language Models for Knowledge Organization System Maintenance and Development: Approaching Roles and Competencies for Editorial Review Boards
dc.typeEvents Material
ifla.UnitAdvisory Committee::Advisory Committee on Standards
ifla.oPubId0

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