Semantic search engine for geospatial datasets using large language models and AWS OpenSearch

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (12.12.2025), art. no. 30, p. 1-1

Volume:

10.2025

Publication date:

12.12.2025

URN:

urn:nbn:de:0307-20260116-004-9

DOI:

10.5194/ica-abs-10-30-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-1, 805,42 kB) : 1 Illustration, 1 Textdatei (PDF)

Keywords:

semantic search; natural language processing; user experience; Infrastructure as code^GND; geo.ca; semantische Suche; natürliche Sprachverarbeitung; Benutzererlebnis^GND; Infrastruktur als Code

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-30-2025

URL:

https://ica-abs.copernicus.org/articles/10/30/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/30/2025/ica-abs-10-30-2025.pdf

Hosting institution:

Natural Resources Canada (NRCan) [CA]

Hosting institution:

University of Alberta (U of A) [CA]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Xinli Cai, Bo Lu, Sajad Ramezani, Anthony Fok, Yannick Lanthier, Joost Van Ulden

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html