Answering Application of Generative AI in Industry: Integration of Semantic Representation

Generative AI acts as an effective guide in decision-making process. This paper is designed to outline the main challenges in applying this technique within businesses and for specific activities. Semantic representation as ontology can be one solution for these challenges. Our first work to link ontology to LLM algorithms is illustrated in financial institutions

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Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033426
Primary Topic
Advanced Computational Techniques and Applications
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article
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article

Answering Application of Generative AI in Industry: Integration of Semantic Representation

Nada Matta, Patrick Pfundstein, Camille Larde, Baptiste Ismedon
Advanced Computational Techniques and Applications
article

Answering Application of Generative AI in Industry: Integration of Semantic Representation

Nada Matta, Patrick Pfundstein, Camille Larde, Baptiste Ismedon
article en

Abstract

Generative AI acts as an effective guide in decision-making process. This paper is designed to outline the main challenges in applying this technique within businesses and for specific activities. Semantic representation as ontology can be one solution for these challenges. Our first work to link ontology to LLM algorithms is illustrated in financial institutions

Université de Technologie de Troyes (FR)
Openalex Percentile: Top 93%
Advanced Computational Techniques and Applications
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Answering Application of Generative AI in Industry: Integration of Semantic Representation — Nada Matta, Patrick Pfundstein, et al. · (2025) | TGRS Research Map | TGRS