Staegemann, Daniel und Haertel, Christian und Pohl, Matthias und Turowski, Klaus (2025) A Review on the Use of Large Language Models in the Context of Open Government Data. INSTICC. 14th International Conference on Data Science, Technology and Applications, 2025-06-10 - 2025-06-12, Bilbao, Spanien. doi: 10.5220/0013642600003967.
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Kurzfassung
Since ChatGPT was released to the public in 2022, large language models (LLM) have drawn enormous interest from academia and industry alike. Their ability to create complex texts based on provided inputs positions them to be a valuable tool in many domains. Moreover, since some time, many governments want to increase transparency and enable the offering of new services by making their data freely available. However, these efforts towards Open Government Data (OGD) face various challenges with many being related to the question how the data can be made easily findable and accessible. To address this issue, the use of LLMs appears to be a promising solution. To provide an overview of the corresponding research, in this work, the results of a structured literature review on the use of LLMs in the context of OGD are presented. Hereby, numerous application areas as well as challenges were identified and described, providing researchers and practitioners alike with a synoptic overview of the domain.
| elib-URL des Eintrags: | https://elib.dlr.de/216994/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||||||
| Titel: | A Review on the Use of Large Language Models in the Context of Open Government Data | ||||||||||||||||||||
| Autoren: |
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| Datum: | Juni 2025 | ||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| DOI: | 10.5220/0013642600003967 | ||||||||||||||||||||
| Verlag: | INSTICC | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | Generative AI, GenAI, Large Language Model, LLM, Literature Review, Open Data, Open Government Data | ||||||||||||||||||||
| Veranstaltungstitel: | 14th International Conference on Data Science, Technology and Applications | ||||||||||||||||||||
| Veranstaltungsort: | Bilbao, Spanien | ||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 10 Juni 2025 | ||||||||||||||||||||
| Veranstaltungsende: | 12 Juni 2025 | ||||||||||||||||||||
| Veranstalter : | INSTICC | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||
| HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
| DLR - Forschungsgebiet: | R - keine Zuordnung | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - keine Zuordnung | ||||||||||||||||||||
| Standort: | Jena | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Datenwissenschaften > Datenmanagement und -aufbereitung | ||||||||||||||||||||
| Hinterlegt von: | Pohl, Matthias | ||||||||||||||||||||
| Hinterlegt am: | 08 Okt 2025 08:40 | ||||||||||||||||||||
| Letzte Änderung: | 08 Okt 2025 08:40 |
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