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Geosemantische Kontextualisierung im Spannungsfeld domänenspezifischer Anforderungen – Methoden(kritik) der Integration von GIS und Semantic Web-Technologien

Authors: Schumacher, Anna-Lena; Runkel, Tobias; Normann, Immanuel;

Geosemantische Kontextualisierung im Spannungsfeld domänenspezifischer Anforderungen – Methoden(kritik) der Integration von GIS und Semantic Web-Technologien

Abstract

In den digitalen Geschichtswissenschaften werden Geodaten und historischen Ortsdaten bisher zumeist alleinig unter Verwendung von Geoinformationssystemen (GIS), oftmals v.a. zur Visualisierung der Daten, bearbeitet. Im Rahmen des Projekts HisMaComp wird die historische und räumlich-topographische Entwicklung von Städten mittels eines datengetriebenen Ansatzes komparativ analysiert. Dafür wurden sechs deutsch-polnische case studies ausgewählt. Die Forschungsfrage dahinter lautet: Wie lassen sich Topographie, Funktionalität und Morphologie historischer Stadträume erfassen und vergleichend analysieren? Für die gemeinsame Analyse all dieser Aspekte sind GIS allein nicht ausreichend. Durch die Kombination von GIS und Semantic Web-Technologien lässt sich die Komplexität der zu verarbeitenden Informationen jedoch erhöhen, sodass tiefergehende und multidimensionale komparatistische Analysen möglich werden. Diese Kombination von mehreren Methoden bedarf einer methodenkritischen Auseinandersetzung. Das geplante Poster zeigt anhand eines illustrativen Fallbeispiels den Prozess von der Forschungsfrage über die Anforderungsanalyse hin zum ontology engineering.

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Keywords

Paper, Kontextsetzung, Forschungsprozess, Methoden, Methode, DHd2024, Ontologie, Modellierung, Karte, Geoinformationssystem, Posterpräsentation, Räumliche Analyse

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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).
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green