Memorias de investigación
Ponencias en congresos:
Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario
Año:2008
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
Access to a large number of remote data sources has boosted research in biomedicine, where different biological and clinical research projects are based on collaborative efforts among international organizations. In this scenario, the authors have developed various methods and tools in the area of database integration, using an ontological approach. This paper describes a method to automatically generate preprocessing structures (ontologies) within an ontology-based KDD model. These ontologies are obtained from the analysis of data sources, searching for: (i) valid numerical ranges (using clustering techniques), (ii) different scales, (iii) synonym transformations based on known dictionaries and (iv) typographical errors. To test the method, experiments were carried out with four biomedical databases ¯containing rheumatoid arthritis, gene expression patterns, biological processes and breast cancer patients¯ proving the performance of the approach. This method supports experts in data analysis processes, facilitating the detection of inconsistencies.
Internacional
Si
Nombre congreso
21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Tipo de participación
960
Lugar del congreso
Jyväskylä (Finlandia)
Revisores
Si
ISBN o ISSN
978-0-7695-3165-6
DOI
Fecha inicio congreso
17/06/2008
Fecha fin congreso
19/06/2008
Desde la página
336
Hasta la página
341
Título de las actas
Proceedings of the 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Inteligencia Artificial
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB