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Memorias de investigación
Ponencias en congresos:
An ontology-based method to link Database Integration and Data Mining within a Biomedical Distributed KDD
Año:2009
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
Over the last years, collaborative research has been continuously growing in many scientific areas such as biomedicine. However, traditional Knowledge Discovery in Databases (KDD) processes generally adopt centralized approaches that do not fully address many research needs in these distributed environments. This paper presents a method to improve traditional centralized KDD by adopting an ontology-based distributed model. Ontologies are used within this model: (i) as Virtual Schemas (VS) to solve structural heterogeneities in databases and (ii) as frameworks to guide automatic transformations when data is retrieved by users¿Preprocessing Ontologies (PO). Both types of ontologies aim to facilitate data gathering and preprocessing while maintaining data source decentralization. This ontology-based approach allows to link database integration and data mining, improving final results, reusability and interoperability. The results obtained present improvements in outcome performance and new capabilities compared to traditional KDD processes
Internacional
Si
Nombre congreso
12th Conference on Artificial Intelligence in Medicine (AIME 2009)
Tipo de participación
960
Lugar del congreso
Verona, Italy
Revisores
Si
ISBN o ISSN
978-3-642-02975-2
DOI
Fecha inicio congreso
18/07/2009
Fecha fin congreso
22/07/2009
Desde la página
355
Hasta la página
359
Título de las actas
Lecture Notes in Computer Science
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: David Perez Del Rey (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Inteligencia Artificial
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