This short paper presents a description of SDF-FuzzIA, a Fuzzy-Ontology LLM-based system for the intelligent analysis of geo-thematic data that serves as a plug-in to the Sustainability Decision Framework (SDF) Decision Support System (DSS). A description of the components implemented in the system is given, followed by an explanation of the interaction between the components and the main system. As this still is a work in progress, future directions and possible hurdles are explored.

Giuseppe Filippone, G.L.R. (2024). SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data. In S. Destercke, M.V. Martinez, G. Sanfilippo (a cura di), Scalable Uncertainty Management (pp. 163-169). Springer [10.1007/978-3-031-76235-2_13].

SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data

Giuseppe Filippone
;
Gianmarco La Rosa;Marco Elio Tabacchi
2024-11-12

Abstract

This short paper presents a description of SDF-FuzzIA, a Fuzzy-Ontology LLM-based system for the intelligent analysis of geo-thematic data that serves as a plug-in to the Sustainability Decision Framework (SDF) Decision Support System (DSS). A description of the components implemented in the system is given, followed by an explanation of the interaction between the components and the main system. As this still is a work in progress, future directions and possible hurdles are explored.
12-nov-2024
Settore INFO-01/A - Informatica
Settore MATH-01/A - Logica matematica
Settore MATH-02/B - Geometria
978-3-031-76234-5
978-3-031-76235-2
Giuseppe Filippone, G.L.R. (2024). SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data. In S. Destercke, M.V. Martinez, G. Sanfilippo (a cura di), Scalable Uncertainty Management (pp. 163-169). Springer [10.1007/978-3-031-76235-2_13].
File in questo prodotto:
File Dimensione Formato  
978-3-031-76235-2_13.pdf

embargo fino al 12/11/2025

Tipologia: Versione Editoriale
Dimensione 256.42 kB
Formato Adobe PDF
256.42 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/664739
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact