Document (#43371)

Author
Neudecker, C.
Zaczynska, K.
Baierer, K.
Rehm, G.
Gerber, M.
Moreno Schneider, J.
Title
Methoden und Metriken zur Messung von OCR-Qualität für die Kuratierung von Daten und Metadaten
Source
Qualität in der Inhaltserschließung. Hrsg.: M. Franke-Maier, u.a
Imprint
München : DeGruyter-Saur
Year
2021
Pages
S.137-165
Series
Bibliotheks- und Informationspraxis; 70
Abstract
Durch die systematische Digitalisierung der Bestände in Bibliotheken und Archiven hat die Verfügbarkeit von Bilddigitalisaten historischer Dokumente rasant zugenommen. Das hat zunächst konservatorische Gründe: Digitalisierte Dokumente lassen sich praktisch nach Belieben in hoher Qualität vervielfältigen und sichern. Darüber hinaus lässt sich mit einer digitalisierten Sammlung eine wesentlich höhere Reichweite erzielen, als das mit dem Präsenzbestand allein jemals möglich wäre. Mit der zunehmenden Verfügbarkeit digitaler Bibliotheks- und Archivbestände steigen jedoch auch die Ansprüche an deren Präsentation und Nachnutzbarkeit. Neben der Suche auf Basis bibliothekarischer Metadaten erwarten Nutzer:innen auch, dass sie die Inhalte von Dokumenten durchsuchen können. Im wissenschaftlichen Bereich werden mit maschinellen, quantitativen Analysen von Textmaterial große Erwartungen an neue Möglichkeiten für die Forschung verbunden. Neben der Bilddigitalisierung wird daher immer häufiger auch eine Erfassung des Volltextes gefordert. Diese kann entweder manuell durch Transkription oder automatisiert mit Methoden der Optical Character Recognition (OCR) geschehen (Engl et al. 2020). Der manuellen Erfassung wird im Allgemeinen eine höhere Qualität der Zeichengenauigkeit zugeschrieben. Im Bereich der Massendigitalisierung fällt die Wahl aus Kostengründen jedoch meist auf automatische OCR-Verfahren.
Theme
Metadaten
Object
OCR

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