A Way to Automatically Enrich Biomedical Ontologies

Juan Antonio Lossio-Ventura (1, 2) , Clement Jonquet (2) , Mathieu Roche (3, 1, 4) , Maguelonne Teisseire (3, 1)

1 ADVANSE - ADVanced Analytics for data SciencE
2 SMILE - Système Multi-agent, Interaction, Langage, Evolution
3 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
4 Cirad-ES - Département Environnements et Sociétés

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.

Domaines: Bio-informatique [q-bio.QM]; Intelligence artificielle [cs.AI]; Base de données [cs.DB]; Traitement du texte et du document

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire. A Way to Automatically Enrich Biomedical Ontologies. P. Evaggelia; M. Sofian; K. Georgia; M. Amelie; T. Letizia; M. Ioana; S. Kostas. 19th International Conference on Extending Database Technology (EDBT 2016), Poster session, Mar 2016, Bordeaux, France. OpenProceedings.org, pp.676-677, 2016, ⟨10.5441/002/edbt.2016.82⟩. ⟨hal-01274540⟩