DC Field
Value
Language
dc.contributor.author
Gartner, Georg
-
dc.date.accessioned
2025-12-04T16:19:04Z
-
dc.date.available
2025-12-04T16:19:04Z
-
dc.date.issued
2025
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Gartner, G. (2025). Why AI and Large Language Models Benefit from Cartography. <i>ArcNews</i>, <i>47</i>(1), 28–28. http://hdl.handle.net/20.500.12708/222062</div> </div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/222062
-
dc.language.iso
en
-
dc.subject
Artificial Intelligence
en
dc.subject
Cartography
en
dc.subject
Geospatial Data
en
dc.title
Why AI and Large Language Models Benefit from Cartography
en
dc.type
Special Contribution
en
dc.type
Spezialbeitrag
de
dc.description.startpage
28
-
dc.description.endpage
28
-
dc.type.category
Article in a Magazine
-
tuw.container.volume
47
-
tuw.container.issue
1
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E120-06 - Forschungsbereich Kartographie
-
dc.description.numberOfPages
1
-
tuw.author.orcid
0000-0003-2002-5339
-
wb.sciencebranch
Geodäsie, Vermessungswesen
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Physische Geographie
-
wb.sciencebranch.oefos
2074
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1054
-
wb.sciencebranch.value
70
-
wb.sciencebranch.value
15
-
wb.sciencebranch.value
15
-
dc.relation.ispartofmagazine
ArcNews
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.cerifentitytype
Publications
-
item.openairetype
text
-
item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.grantfulltext
none
-
crisitem.author.dept
E120-06 - Forschungsbereich Kartographie
-
crisitem.author.orcid
0000-0003-2002-5339
-
crisitem.author.parentorg
E120 - Department für Geodäsie und Geoinformation
-
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