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

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

Description

Title: Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario
Author/s:
  • Anguita Sanchez, Alberto
  • Pérez del Rey, David
  • Crespo del Arco, Jose
  • Maojo Garcia, Victor Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Event Dates: 17/06/2008-19/06/2008
Event Location: Jyväskylä, Finlandia
Title of Book: Proceedings of the 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Date: 2008
ISBN: 978-0-7695-3165-6
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (335kB) | Preview

Abstract

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.

More information

Item ID: 4183
DC Identifier: http://oa.upm.es/4183/
OAI Identifier: oai:oa.upm.es:4183
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4562013
Deposited by: Memoria Investigacion
Deposited on: 14 Sep 2010 08:41
Last Modified: 20 Apr 2016 13:31
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM