Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
An ontology-based method to link Database Integration and Data Mining within a Biomedical Distributed KDD
Year:2009
Research Areas
  • Artificial intelligence,
  • Programming language
Information
Abstract
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
International
Si
Congress
12th Conference on Artificial Intelligence in Medicine (AIME 2009)
960
Place
Verona, Italy
Reviewers
Si
ISBN/ISSN
978-3-642-02975-2
Start Date
18/07/2009
End Date
22/07/2009
From page
355
To page
359
Lecture Notes in Computer Science
Participants
  • Autor: David Perez Del Rey (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Research Group, Departaments and Institutes related
  • 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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