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Enriching Taxonomies Using Large Language Models

  • Institut Polytechnique de Paris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 However, many existing taxonomies suffer from limited coverage and outdated or ambiguous nodes, reducing their effectiveness in knowledge retrieval.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.

Original languageEnglish
Title of host publicationECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings
EditorsInes Lynce, Nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani
PublisherIOS Press BV
Pages5147-5150
Number of pages4
ISBN (Electronic)9781643686318
DOIs
Publication statusPublished - 21 Oct 2025
Event28th European Conference on Artificial Intelligence, ECAI 2025, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Bologna, Italy
Duration: 25 Oct 202530 Oct 2025

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume413
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference28th European Conference on Artificial Intelligence, ECAI 2025, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025
Country/TerritoryItaly
CityBologna
Period25/10/2530/10/25

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