Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario

Anguita Sanchez, Alberto; Pérez del Rey, David; Crespo del Arco, Jose y Maojo Garcia, Victor Manuel (2008). Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario. En: "21st International Symposium on Computer-Based Medical Systems (CBMS2008)", 17/06/2008-19/06/2008, Jyväskylä, Finlandia. ISBN 978-0-7695-3165-6.

Descripción

Título: Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario
Autor/es:
  • Anguita Sanchez, Alberto
  • Pérez del Rey, David
  • Crespo del Arco, Jose
  • Maojo Garcia, Victor Manuel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Fechas del Evento: 17/06/2008-19/06/2008
Lugar del Evento: Jyväskylä, Finlandia
Título del Libro: Proceedings of the 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Fecha: 2008
ISBN: 978-0-7695-3165-6
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (335kB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 4183
Identificador DC: http://oa.upm.es/4183/
Identificador OAI: oai:oa.upm.es:4183
URL Oficial: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4562013
Depositado por: Memoria Investigacion
Depositado el: 14 Sep 2010 08:41
Ultima Modificación: 20 Abr 2016 13:31
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM