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Vom gedruckten Gazetteer zum digitalen Ortsverzeichnis - Das Geschichtliche Ortsverzeichnis (GOV)

Authors: Purschwitz, Anne; Zedlitz, Jesper;

Vom gedruckten Gazetteer zum digitalen Ortsverzeichnis - Das Geschichtliche Ortsverzeichnis (GOV)

Abstract

"Ortsnamen und geographische R��ume wie auch ihre Positionierung spielen in der Geschichtswissenschaft eine wichtige Rolle. Vor diesem Hintergrund ist es h��ufig erforderlich Ortsnamen zu recherchieren, eine Lokalisierung und eine Visualisierung auf unterschiedlichem Kartenmaterial vorzunehmen. Mittlerweile stehen daf��r eine Vielzahl von Tools zur Verf��gung. Gerade in dem breiten verf��gbaren Spektrum liegen M��glichkeiten aber auch Schwierigkeiten f��r Forscher*innen und interessierte Laien. Die Besonderheiten historischer Raumzuordnungen beinhalten spezifische Herausforderungen bei der Aufbereitung, Pr��sentation und Recherche. Die Mehrheit der aktuell als Open-Access verf��gbaren Ortsverzeichnisse ber��cksichtigt dieses 'historische Werden' nur unzureichend bis gar nicht. Das Geschichtliche Ortsverzeichnis des 'Vereins f��r Computergenealogie' stellt sich den Herausforderungen in der Modellierung von Zeit und Raum. Im GOV wurden daf��r topologische Beziehungen modelliert, die im Unterschied zu Time-slices belastbarer sind. Entstanden ist ein hierarchisches Modell, das zwischen Siedlung und Administration trennt, beide Ebenen aber vielf��ltig miteinander in Beziehung setzen kann. Das GOV geht damit deutlich ��ber bisherige Standards hinaus." Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Ged��chtnisses.

Keywords

GOV, Zeit und Raum, Ortsverzeichnis, Identifikation Orte, Modellierung, Crowdsourcing, R��umliche Analyse, Programmierung, DHd2022, Sammlung, Daten, Gazetteer

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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