Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Ontology-based KDD for Distributed Biomedical Sources
Year:2007
Research Areas
  • Artificial intelligence,
  • Programming language
Information
Abstract
Traditional Knowledge Discovery in Databases (KDD) approaches departs from a centralized repository to begin data analysis. However, biomedical environments generally require distributed frameworks, since the information is dispersed through different organizations. Structural and semantic database heterogeneities should be managed in this scenario. Semantic issues have been tackled in the last years using ontologies in database integration and further KDD phases. This paper presents a model of ontology-based integration and preprocessing to access distributed biomedical sources. Ontologies are used to: (i) build virtual repositories representing data sources and (ii) as a structure to store the required information to preprocess the instances of a database. These ontologies drive the automatic data transformation, carried out each time the user query the system. Breast cancer datasets have been used to test the improvement of our approach in data mining results.
International
Si
Congress
4th pHealth Conference 2007
960
Place
Porto Carras, Chalkidiki (Greece)
Reviewers
Si
ISBN/ISSN
Start Date
20/06/2007
End Date
22/06/2007
From page
To page
Participants
  • Participante: E Aguilera
  • Autor: Victor Manuel Maojo Garcia (UPM)
  • Autor: Jose Crespo Del Arco (UPM)
  • Autor: David Perez Del Rey (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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