Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed
Año:2016
Áreas de investigación
  • Ciencias naturales y ciencias de la salud
Datos
Descripción
Traditional distributional semantic models (DSMs) like Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) derive representations for words assuming words occurring in similar contexts will have similar representations. Deep Learning has made feasible the derivation of word embeddings (i.e. distributed word representations) from corpora of billions of words applying neural language models like CBOW and Skip-gram. The application of Deep Learning to aid ontology development remains largely unexplored. This study investigates the performance of LSA, LDA, CBOW and Skip-gram for ontology learning tasks. We conducted six experiments; firstly using 300K and later with 14M PubMed titles and abstracts to obtain topranked candidate terms related to the patient safety domain. Based on the evaluation performed, we conclude that Deep Learning can contribute to ontology engineering from the biomedical literature. Keywords. Ontology Learning, Deep Learning, OWL-DL, CBOW, Skip-gram
Internacional
Si
Nombre congreso
9th International Conference SWAT4LS. Semantic Web Applications and Tools for the Life Sciences
Tipo de participación
960
Lugar del congreso
Amsterdam
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
05/12/2016
Fecha fin congreso
08/12/2016
Desde la página
42
Hasta la página
52
Título de las actas
Semantic Web Applications and Tools for Life Sciences Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences Amsterdam, The Netherlands, December 5-8, 2016.
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Mercedes Argüello Casteleiro (University of Manchester)
  • Autor: María Jesús Fernández Prieto (University of Salford)
  • Autor: Georgios Demetriou (University of Manchester)
  • Autor: Maria de la Nava Maroto Garcia (UPM)
  • Autor: Warren Read (University of Manchester)
  • Autor: Diego Maseda Fernandez (Midcheshire Hospital Foundation Trust)
  • Autor: José Julio Des Diz (Hospital do Salnés)
  • Autor: Goran Nenadic (University of Manchester)
  • Autor: John Keane (University of Manchester)
  • Autor: Robert Stevens (University of Manchester)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lingüística Aplicada a la Ciencia y a la Tecnología
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)