<div class="csl-bib-body">
<div class="csl-entry">Keler, A., & Krisp, J. M. (2023). Geodata Generation and Enrichment via ChatGPT for Location Based Services (LBS). In <i>Proceedings of the 18th International Conference on Location Based Services</i> (pp. 136–141). https://doi.org/10.34726/5743</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/194769
-
dc.identifier.uri
https://doi.org/10.34726/5743
-
dc.description.abstract
This short paper focuses on the generation and enrichment of geospatial data using ChatGPT (Chat Generative Pre-Trained Transformer, version 3, April 2023). Can we use ChatGPT to generate & use geospatial data in Locations Based Services? We conduct several example generations using the CSV and GeoJSON data formats for the feature classes points, lines and polygons. First results show the potential for educational and research purposes. The initial experiments, for example for tourism sites in Augsburg, indicate that is possible to generate geographic data, still the quality of the information is questionable. As it is generated data, it has shortages and challenges concerning for example the certainty & vagueness concerning the geographic components. In an outlook, we give first ideas for the application of the more promising approach of geodata enrichment by using ChatGPT and its possible use in location-based services (LBS).
en
dc.language.iso
en
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
dc.subject
Artificial Intelligence Chatbots
en
dc.subject
Geodata Generation
en
dc.subject
Location-Based Services
en
dc.subject
ChatGPT
en
dc.subject
Geographic Data
en
dc.title
Geodata Generation and Enrichment via ChatGPT for Location Based Services (LBS)
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5743
-
dc.contributor.affiliation
Kyoto University, Japan
-
dc.contributor.affiliation
University of Augsburg, Germany
-
dc.relation.doi
10.34726/5400
-
dc.description.startpage
136
-
dc.description.endpage
141
-
dc.rights.holder
Authors
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Proceedings of the 18th International Conference on Location Based Services
-
tuw.relation.ispartof
10.34726/5400
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E000 - Technische Universität Wien
-
dc.identifier.libraryid
AC17202230
-
dc.description.numberOfPages
6
-
tuw.author.orcid
0000-0002-2326-1612
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
18th International Conference on Location Based Services (LBS 2023)
