RDF Graph GPT - Building Knowledge Graphs with Chat GPT
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.isFulltext | SI | |
| cic.isPeerReviewed | SI | |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.parentType | Objeto de conferencia | |
| cic.version | Aceptada | |
| dc.date.accessioned | 2025-09-05T12:20:18Z | |
| dc.date.available | 2025-09-05T12:20:18Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/12551 | |
| dc.title | RDF Graph GPT - Building Knowledge Graphs with Chat GPT | en |
| dc.type | Documento de conferencia | |
| dcterms.abstract | This paper introduces RDF Graph GPT app as a tool to automatically translate natural language texts into RDF format knowledge graphs using Artificial Intelligence. Throughout its reading we will dissect and elaborate the various aspects of the functionality mentioned above, as well as some more that this app provides such as graph visualization of any RDF format text with the possibility to choose between two graph types. It also presents an overview of the connection with the AI, more precisely Chat GPT, and the prompts structure that leads to the desired results. The app was tested using different types of natural language texts and different prompts in order to make a richer analysis of the results. This evaluation process was made by experts who gave us some conclusions about the scope and limitations of the tool. It has promising results that show us how interesting this task is along with the potential that the resultant app has. This app, then, puts the focus on the IA as a resource on the matter of developing powerful tools for translating natural language texts into structured formats such as RDF. A very desired task to do automatically due to its implications and applications in the matter of adding semantics to the data. | en |
| dcterms.creator.author | Borrelli Zara, Juana | |
| dcterms.creator.author | Fernández, Alejandro | |
| dcterms.creator.author | Torres, Diego | |
| dcterms.identifier.other | ISBN: 978-3-031-91690-8 | |
| dcterms.identifier.other | DOI: 10.1007/978-3-031-91690-8_15 | |
| dcterms.isPartOf.item | Collaboration in Knowledge Discovery and Decision Making. DECISIONING 2024 | |
| dcterms.isPartOf.series | Decisioning 2024 (Colombia, 4 al 6 de junio de 2024) | |
| dcterms.issued | 2025 | |
| dcterms.language | Inglés | |
| dcterms.license | Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) | |
| dcterms.subject | Resource Description Framework (RDF) | es |
| dcterms.subject | Large Language Models (LLMs) | es |
| dcterms.subject | Artificial Intelligence | es |
| dcterms.subject | Chat GPT | es |
| dcterms.subject | Knowledge Graph | es |
| dcterms.subject.materia | Ciencias de la Computación e Información |
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