How can locally deployed large language models improve dataset discovery in open government data portals?

Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.3728

Publisher URL:	https://searchenginesandsociety.net/wp-content/uploads/2026/09/SEASON2026_paper_38.pdf https://searchenginesandsociety.net/season-2026/book-of-abstracts/
Title:	How can locally deployed large language models improve dataset discovery in open government data portals?
Language:	English
Authors:	Siebenlist, Tobias Gnyp, Jennifer
Other :	Search Engines and Society Network
Keywords:	Large Language Models (LLM); Open Government; Research Information Systems
Issue Date:	2026
Publisher:	Search Engines and Society Network
Conference:	The Search Engines and Society Network Annual Conference 2026
URI:	https://hdl.handle.net/20.500.12738/20002
DOI:	10.48441/4427.3728
Review status:	This version was peer reviewed (peer review)
Institute:	Hochschule Rhein-Waal
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications with full text