Interpreting User Needs with LLMs-based Conversational Agents and Knowledge Graphs: An Earth Observation Use Case

Authors

Antoine Dupuy (ORCID: https://orcid.org/0000-0003-4237-2462)
Christophe Baehr (ORCID: https://orcid.org/0000-0002-1230-893X)
Cassia Trojahn
Nathalie Aussenac-Gilles

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-11-02
Primary Topic: Semantic Web and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Interpreting User Needs with LLMs-based Conversational Agents and Knowledge Graphs: An Earth Observation Use Case

Antoine Dupuy, Christophe Baehr, Cassia Trojahn, Nathalie Aussenac-Gilles

Nov 2, 2025

SPIRE - Sciences Po Institutional REpository

Semantic Web and Ontologies

article

Interpreting User Needs with LLMs-based Conversational Agents and Knowledge Graphs: An Earth Observation Use Case

Antoine Dupuy, Christophe Baehr, Cassia Trojahn, Nathalie Aussenac-Gilles

November 2, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Climate action

Openalex Percentile: Top 17%

Semantic Web and Ontologies

Open Access PDF OpenAlex

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Interpreting User Needs with LLMs-based Conversational Agents and Knowledge Graphs: An Earth Observation Use Case — Antoine Dupuy, Christophe Baehr, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS