Document (#43221)

Author
Kempf, K.
Brantl, M.
Meiers, T.
Wolf, T.
Title
Auf der Suche nach dem verborgenen Bild : Künstliche Intelligenz erschließt historische Bibliotheksbestände
Issue
Teil 1: Die Motivation, die Herausforderungen, Automatisierte Trennung von Texten und Bildern.
Source
Open Password. 2021, Nr.901 vom 19.03.2021, [https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzI3MSwiNWFkMmExZjZhYmYxIiwwLDAsMjQwLDFd]
Year
2021
Abstract
Seit 23 Jahren werden im Münchener Digitalisierungszentrum (MDZ) die reichhaltigen und weltweit einzigartigen Sammlungen der Bayerischen Staatsbibliothek (BSB) digitalisiert und online bereitgestellt. Was 1997 als experimentelles Projekt mit Anschubfinanzierung der Deutschen Forschungsgemeinschaft begann, ist binnen weniger Jahre zu einem der wichtigsten Geschäftsgänge der Bayerischen Staatsbibliothek geworden. Durch die Zusammenarbeit mit Google wurde der digitale Bestandsaufbau seitdem Jahr 2007 stark erweitert. Die Anzahl der digitalisierten Werke stieg von einigen zehntausend auf aktuell über 2,5 Millionen. Der größte Teil des Altbestandes vor 1900 und damit rund ein Zehntel des Gesamtbestandes der Bibliothek ist inzwischen auch in digitaler Form verfügbar. Dabei handelt es sich um Werke aus zwölf Jahrhunderten. Von koptischen Papyri des 6. Jahrhunderts über mittelalterliche Handschriften, neuzeitliche Inkunabeln bis hin zu Druckwerken des späten 19. und frühen 20. Jahrhunderts ist alles dabei.
Form
Bilder
Altes Buch
Inkunabeln

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