Document (#42210)

Author
Wiesenmüller, H.
Title
Maschinelle Indexierung am Beispiel der DNB : Analyse und Entwicklungmöglichkeiten
Source
o-bib: Das offene Bibliotheksjournal. 5(2018) Nr.4, S.141-153
Year
2018
Abstract
Der Beitrag untersucht die Ergebnisse des bei der Deutschen Nationalbibliothek (DNB) eingesetzten Verfahrens zur automatischen Vergabe von Schlagwörtern. Seit 2017 kommt dieses auch bei Printausgaben der Reihen B und H der Deutschen Nationalbibliografie zum Einsatz. Die zentralen Problembereiche werden dargestellt und an Beispielen illustriert - beispielsweise dass nicht alle im Inhaltsverzeichnis vorkommenden Wörter tatsächlich thematische Aspekte ausdrücken und dass die Software sehr häufig Körperschaften und andere "Named entities" nicht erkennt. Die maschinell generierten Ergebnisse sind derzeit sehr unbefriedigend. Es werden Überlegungen für mögliche Verbesserungen und sinnvolle Strategien angestellt.
Content
Vortrag anlässlich des 107. Deutschen Bibliothekartages 2018 in Berlin, Themenkreis "Fokus Erschließen & Bewahren". https://www.o-bib.de/article/view/5396. https://doi.org/10.5282/o-bib/2018H4S141-153.
Theme
Automatisches Indexieren
Object
DNB
Location
D
Aid
Digitaler Assistent (Averbis)

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