Analysis of readability and structural accuracy in SNOMED CT.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The increasing adoption of ontologies in biomedical research and the growing number of ontologies available have made it necessary to assure the quality of these resources. Most of the well-established ontologies, such as the Gene Ontology or SNOMED CT, have their own quality assurance processes. These have demonstrated their usefulness for the maintenance of the resources but are unable to detect all of the modelling flaws in the ontologies. Consequently, the development of efficient and effective quality assurance methods is needed.

Authors

  • Francisco Abad-Navarro
    Departamento de Informática y Sistemas, Universidad de Murcia, Campus de Espinardo, 30100, Murcia, Spain.
  • Manuel Quesada-Martínez
    Facultad de Informática, Campus de Espinardo, Universidad de Murcia, 30100 Murcia, Spain. Electronic address: manuel.quesada@um.es.
  • Astrid Duque-Ramos
    Universidad de Murcia, IMIB-Arrixaca, Campus de Espinardo, Murcia, 30071, Spain.
  • Jesualdo Tomás Fernández-Breis
    Faculty of Computer Science, Universidad de Murcia, IMIB-Arrixaca, Spain.