Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften

Knowledge graphs and network approaches are an increasingly vibrant research topic in quite different disciplines. This article acknowledges their parallel development in applied and mathematical fields, and the various current approa...

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Main Author: Jens Dörpinghaus
Format: Article
Language:deu
Published: Forschungsverbund Marbach Weimar Wolfenbüttel / Verband Digital Humanities im deutschsprachigen Raum e.V. 2022-12-01
Series:Zeitschrift für digitale Geisteswissenschaften
Subjects:
Online Access:https://www.zfdg.de/node/380
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author Jens Dörpinghaus
author_facet Jens Dörpinghaus
author_sort Jens Dörpinghaus
collection DOAJ
description Knowledge graphs and network approaches are an increasingly vibrant research topic in quite different disciplines. This article acknowledges their parallel development in applied and mathematical fields, and the various current approaches between computer science, mathematics, data science, and the humanities and social sciences. This gives rise to key interdisciplinary perspectives: first, network approaches in the humanities and social sciences need to be broader, as knowledge networks are already implicit in the use of Linked Data. Second, the methodological breadth of knowledge graphs, in which, for example, social networks can be conceived as knowledge graphs, results in new tools and new methods of analysis. In this respect, this paper is intended as a plea for interdisciplinary exchange and in-depth discussion of methods, algorithms, and Linked Data approaches.
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spelling doaj.art-1ffb2a3e2ff94394998c00a65898a70e2024-11-02T05:28:21ZdeuForschungsverbund Marbach Weimar Wolfenbüttel / Verband Digital Humanities im deutschsprachigen Raum e.V.Zeitschrift für digitale Geisteswissenschaften2510-13582022-12-011110.17175/2022_0111819368734Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und SozialwissenschaftenJens Dörpinghaushttps://orcid.org/0000-0003-0245-7752Knowledge graphs and network approaches are an increasingly vibrant research topic in quite different disciplines. This article acknowledges their parallel development in applied and mathematical fields, and the various current approaches between computer science, mathematics, data science, and the humanities and social sciences. This gives rise to key interdisciplinary perspectives: first, network approaches in the humanities and social sciences need to be broader, as knowledge networks are already implicit in the use of Linked Data. Second, the methodological breadth of knowledge graphs, in which, for example, social networks can be conceived as knowledge graphs, results in new tools and new methods of analysis. In this respect, this paper is intended as a plea for interdisciplinary exchange and in-depth discussion of methods, algorithms, and Linked Data approaches.https://www.zfdg.de/node/380wissensgraph linked data interdisziplinaritätgraphentheoriegeisteswissenschaften
spellingShingle Jens Dörpinghaus
Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
Zeitschrift für digitale Geisteswissenschaften
wissensgraph
linked data
interdisziplinarität
graphentheorie
geisteswissenschaften
title Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
title_full Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
title_fullStr Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
title_full_unstemmed Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
title_short Wissensgraphen: Interdisziplinäre Perspektiven für Linked Data in den Geistes- und Sozialwissenschaften
title_sort wissensgraphen interdisziplinare perspektiven fur linked data in den geistes und sozialwissenschaften
topic wissensgraph
linked data
interdisziplinarität
graphentheorie
geisteswissenschaften
url https://www.zfdg.de/node/380
work_keys_str_mv AT jensdorpinghaus wissensgrapheninterdisziplinareperspektivenfurlinkeddataindengeistesundsozialwissenschaften