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Referenzierung des digitalen kulturellen (Text-)Erbes - Digitale Quellenkritik und Modellierung von Metadaten

Authors: Althage, Melanie; Dreyer, Malte; Guescini, Rolf; Hiltmann, Torsten; L��deling, Anke; Odebrecht, Carolin;

Referenzierung des digitalen kulturellen (Text-)Erbes - Digitale Quellenkritik und Modellierung von Metadaten

Abstract

"Historische Textdaten wie etwa Urkunden, Briefe, Tageb��cher aber auch literarische Texte sind integraler Bestandteil unseres kulturellen Erbes und insofern f��r viele geisteswissenschaftliche Fachbereiche wie die Sprach-, Literatur- und Geschichtswissenschaften die empirische Fxorschungsgrundlage. In unserem Beitrag zeigen wir anhand des Fachrepositoriums LAUDATIO, wie eine dom��nenspezifische Datendokumentation, -kritik und -referenzierung mit standardisierten Methoden (Unified Modeling Language, TEI framework, persistente ID) f��r die historisch arbeitenden Textwissenschaften umgesetzt werden kann. Die Dokumentation und Kritik nimmt sich dabei die historische Quellenkritik als Vorbild, die Informationen zu inneren und ��u��eren Merkmalen der Quellen aggregiert. Ein Schwerpunkt wird auf Personen- und Ortsbez��ge gesetzt (Entity Management). F��r die Weiterentwicklung von LAUDATIO wurden zur Identifikation der transdisziplin��ren Anforderungen an ein Forschungsdatenrepositorium mit den Fachbereichen User Stories entwickelt. Die so identifizierten Bedarfe und m��glichen Workflows diskutieren wir im Rahmen der Posterpr��sentation mit der Community." Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Ged��chtnisses.

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Keywords

benannte Entitäten (named entities), Referenzierung, Community-Bildung, Modellierung, User Stories, Erschließung, Text, Forschungsprozess, Methoden, Metadaten, Linked Data, benannte Entit��ten (named entities), DHd2022, Quellenkritik, Forschungsdaten, Erschlie��ung

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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.
BIP!Popularity provided by BIP!
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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