Knowledge retrieval in the anatomical domain

H. Andrés Melgar S, Fabiano D. Beppler, Roberto C.S. Pacheco

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


The information requirement in the health area and the increase difficult for knowledge retrieval inside this domain, demands the existence of tools to support the processing of large amount of existing texts in the information repositories sources. Addressing this problem this work introduces an architecture aiming to support knowledge retrieval process from databases using annotated images in the anatomical domain. The architecture was implemented using five layers (the domain ontology, the annotation, the support, the retrieval and visualization layers) based on the Foundational Model of Anatomy and the Unified Medical Language System, reference ontologies in the biomedical domain. This architecture improves substantially the knowledge retrieval due to the use of images that link its regions with concepts of biomedical ontologies. The architecture proposed can be generalized and applied in other domains employing other reference ontologies.

Idioma originalInglés
Título de la publicación alojadaIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
Número de páginas10
EstadoPublicada - 2010
Publicado de forma externa
Evento1st ACM International Health Informatics Symposium, IHI'10 - Arlington, VA, Estados Unidos
Duración: 11 nov. 201012 nov. 2010

Serie de la publicación

NombreIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium


Conferencia1st ACM International Health Informatics Symposium, IHI'10
País/TerritorioEstados Unidos
CiudadArlington, VA


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