Passer à la navigation principale Passer à la recherche Passer au contenu principal

Enriching Taxonomies Using Large Language Models

  • Institut Polytechnique de Paris

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

Taxonomies play a vital role in structuring and categorizing information across domains. However, many existing taxonomies suffer from limited coverage and outdated or ambiguous nodes, reducing their effectiveness in knowledge retrieval. To address this, we present Taxoria, a novel taxonomy enrichment pipeline that leverages Large Language Models (LLMs) to enhance a given taxonomy. Unlike approaches that extract internal LLM taxonomies, Taxoria uses an existing taxonomy as a seed and prompts an LLM to propose candidate nodes for enrichment. These candidates are then validated to mitigate hallucinations and ensure semantic relevance before integration. The final output includes an enriched taxonomy with provenance tracking and visualization of the final merged taxonomy for analysis.

langue originaleAnglais
titreECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings
rédacteurs en chefInes Lynce, Nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani
EditeurIOS Press BV
Pages5147-5150
Nombre de pages4
ISBN (Electronique)9781643686318
Les DOIs
étatPublié - 21 oct. 2025
Evénement28th European Conference on Artificial Intelligence, ECAI 2025, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Bologna, Italie
Durée: 25 oct. 202530 oct. 2025

Série de publications

NomFrontiers in Artificial Intelligence and Applications
Volume413
ISSN (imprimé)0922-6389
ISSN (Electronique)1879-8314

Une conférence

Une conférence28th European Conference on Artificial Intelligence, ECAI 2025, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025
Pays/TerritoireItalie
La villeBologna
période25/10/2530/10/25

Empreinte digitale

Examiner les sujets de recherche de « Enriching Taxonomies Using Large Language Models ». Ensemble, ils forment une empreinte digitale unique.

Contient cette citation