Towards the Extraction of Location References and Topics from Semi-Structured Textual Data from the Open Web Index using Open-Source Large Language Models

Appeared in: Open Search Symposium 2025, 8-10 October 2025, CSC IT Center for Science, Helsinki, Finland.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17238018
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards the Extraction of Location References and Topics from Semi-Structured Textual Data from the Open Web Index using Open-Source Large Language Models

Zenodo (CERN European Organization for Nuclear Research)
Complex Network Analysis Techniques
article

Towards the Extraction of Location References and Topics from Semi-Structured Textual Data from the Open Web Index using Open-Source Large Language Models

article en

Abstract

Appeared in: Open Search Symposium 2025, 8-10 October 2025, CSC IT Center for Science, Helsinki, Finland.

Zenodo (CERN European Organization for Nuclear Research)
Stuttgart Media University (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Quality Education
Openalex Percentile: Top 46%
Complex Network Analysis Techniques
DOIOpen Access PDFOpenAlex
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Towards the Extraction of Location References and Topics from Semi-Structured Textual Data from the Open Web Index using Open-Source Large Language Models · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS