Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Automatic Generation of Integration and Preprocessing Ontologies for Biomedical Sources in a Distributed Scenario
Year:2008
Research Areas
  • Artificial intelligence,
  • Programming language
Information
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.
International
Si
Congress
21st International Symposium on Computer-Based Medical Systems (CBMS2008)
960
Place
Jyväskylä (Finlandia)
Reviewers
Si
ISBN/ISSN
978-0-7695-3165-6
Start Date
17/06/2008
End Date
19/06/2008
From page
336
To page
341
Proceedings of the 21st International Symposium on Computer-Based Medical Systems (CBMS2008)
Participants
  • Autor: Alberto Anguita Sanchez (UPM)
  • Autor: Jose Crespo Del Arco (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
  • Autor: David Perez Del Rey (UPM)
Research Group, Departaments and Institutes related
  • 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
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