Knowledge Graphs can play together: Addressing knowledge graph alignment from ontologies in the biomedical domain - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Knowledge Graphs can play together: Addressing knowledge graph alignment from ontologies in the biomedical domain

Yann-Alan Pilatte
  • Fonction : Auteur
Stéphane Durfort
  • Fonction : Auteur
Nesrine Yahiaoui
  • Fonction : Auteur
Anubhav Gupta
  • Fonction : Auteur
  • PersonId : 1418666

Résumé

We introduce DomainKnowledge, a system that leverages a pipeline for triple extraction from natural text and domain-specific ontologies leading to knowledge graph construction. We also address the challenge of aligning text-extracted and ontology-based knowledge graphs using the biomedical domain as use case. Finally, we derive graph metrics to evaluate the effectiveness of our system compared to a human baseline.
Fichier principal
Vignette du fichier
kdir_133.pdf (379.57 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04708946 , version 1 (25-09-2024)

Identifiants

  • HAL Id : hal-04708946 , version 1

Citer

Hanna Abi Akl, Dominique Mariko, Yann-Alan Pilatte, Stéphane Durfort, Nesrine Yahiaoui, et al.. Knowledge Graphs can play together: Addressing knowledge graph alignment from ontologies in the biomedical domain. KDIR 2024 - 16th International Conference on Knowledge Discovery and Information Retrieval, Nov 2024, Porto, Portugal. ⟨hal-04708946⟩
98 Consultations
27 Téléchargements

Partager

More