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Einführung in DraCor - Programmable Corpora für die digitale Dramenanalyse

Authors: Börner, Ingo; Fischer, Frank; Milling, Carsten; Sluyter-Gäthje, Henny;

Einführung in DraCor - Programmable Corpora für die digitale Dramenanalyse

Abstract

Der ganztägige Workshop führt in DraCor (https://dracor.org) ein. Hierbei handelt es sich um eine offene Plattform zur Erforschung von Dramen in verschiedenen Sprachen. Anhand von praktischen Beispielen erlernen die Teilnehmer*innen Methoden der digitalen Dramenanalyse. Zunächst erfolgt eine Vorstellung des Konzepts der "Programmable Corpora" – infrastrukturell-forschungsorientierte, offene, erweiterbare, LOD-freundliche Volltextkorpora, die es ermöglichen sollen, auf niederschwellige Weise diverse Forschungsfragen aus dem Bereich der digitalen Literaturwissenschaft datenbasiert, nachvollziehbar und reproduzierbar zu bearbeiten. Danach wird in Hands-on-Tutorials in Kleingruppen eine praktische Einführung in das Erstellen von TEI-Dramenkorpora zur Analyse mit DraCor gegeben. Praktische Beispiele zu stilometrischen und netzwerkanalytischen Untersuchungen von Dramen führen in die Verwendung der DraCor-API ein. Ebenso werden Möglichkeiten zu korpusübergreifenden Abfragen und Einbeziehung von Informationen aus der Linked-Open-Data-Cloud mit SPARQL erprobt. Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.

Keywords

Community-Bildung, Einführung, API, Linked Data, Dramenanalyse, Infrastruktur, Netzwerkanalyse, DHd2022, Stilistische Analyse, Literatur, Digitale Literaturwissenschaft

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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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