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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Format: | Article |
Language: | deu |
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Forschungsverbund Marbach Weimar Wolfenbüttel / Verband Digital Humanities im deutschsprachigen Raum e.V.
2022-12-01
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Series: | Zeitschrift für digitale Geisteswissenschaften |
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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. |
first_indexed | 2024-04-10T22:37:00Z |
format | Article |
id | doaj.art-1ffb2a3e2ff94394998c00a65898a70e |
institution | Directory Open Access Journal |
issn | 2510-1358 |
language | deu |
last_indexed | 2025-02-18T10:40:29Z |
publishDate | 2022-12-01 |
publisher | Forschungsverbund Marbach Weimar Wolfenbüttel / Verband Digital Humanities im deutschsprachigen Raum e.V. |
record_format | Article |
series | Zeitschrift für digitale Geisteswissenschaften |
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 |