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Annotating Humanities Research Data - Episteme, Metaphors and the Torah

Authors: Ernst, Felix; Götzelmann, Germaine; Jha, Vandana; Tögel, Philipp; Tonne, Danah; Frank, Laura;

Annotating Humanities Research Data - Episteme, Metaphors and the Torah

Abstract

Annotieren ist eine der ältesten Kulturtechniken der Menschheit. Während in den vergangenen Jahrhunderten Stift und Papier die Mittel der Wahl waren um Anmerkungen zu einer Quelle hinzuzufügen, verschiebt sich diese Aktivität in den letzten Jahren zunehmend in die digitale Welt. Mit der W3C-Empfehlung ‘Web Annotation Data Model’ steht seit 2017 ein mächtiges Werkzeug zur Verfügung, um Annotationen in verschiedensten Disziplinen zu modellieren und eine disziplin- sowie plattformübergreifende Auswertung zu ermöglichen. In diesem Poster möchten wir einen Einblick in unsere Annotationsinfrastruktur geben, die in drei geisteswissenschaftlichen Forschungsprojekten im Einsatz ist. Dabei stehen sowohl ein eigens entwickelter Annotationsserver mit RDF-Backend (vollständig kompatibel zum ‘Web Annotation Protocol’) als auch unsere Annotationsoberflächen im Fokus. Es sollen das Zusammenspiel dieser Komponenten untereinander aber auch mit weiteren Infrastrukturkomponenten, wie beispielsweise einem Forschungsdatenrepositorium oder einem Vokabulareditor, sowie die tägliche Arbeit der Forschenden mit diesen Komponenten illustriert werden. Besonderesr Augenmerk soll auf die Modellierung der Annotationen in unseren unterschiedlichen Anwendungsfällen gelegt werden. Die Beispiele reichen dabei von Auszeichnungen logischer Diagramme in mittelalterlichen Aristoteles-Handschriften, über die Analyse von Metaphern im Prozessin religiöser Sinnbildung bis hin zur Erfassung besonderer hebräischern Buchstabenvariationen in Torarollen. Die Diskussion von Gemeinsamkeiten und Unterschieden in diesen Anwendungsfällen birgt dabei ein großes Potential für die Übertragbarkeit und Fruchtbarmachung in weiteren wissenschaftlichen Disziplinen.

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Germany
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Keywords

ddc:004, Digital Humanities, HMC, Metadata, Annotation, Digital Humanities, HMC, DATA processing & computer science, Annotations, Research Data Management, 830, info:eu-repo/classification/ddc/004, 004

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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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