Logo image
Se connecter
Retour
A Way to Automatically Enrich Biomedical Ontologies
Poster de colloque   Open Access

A Way to Automatically Enrich Biomedical Ontologies

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche et Maguelonne Teisseire
19. International Conference on Extending Database Technology (EDBT 2016), pp.676-677
19. International Conference on Extending Database Technology (EDBT 2016) (Bordeaux, France, 15/03/2016–16/03/2016)
2016
DOI: https://doi.org/10.5441/002/edbt.2016.82

Résumé

I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing
Biomedical ontologies play an important role for information extraction in the biomedical domain. We present a workflow for updating automatically biomedical ontologies, composed of four steps. We detail two contributions concerning the concept extraction and semantic linkage of extracted terminology.

Fichiers et liens (1)

url
Find in HALAfficher

Indicateurs

1 Consultations de la notice

Détails

Logo image