title: An ontology-based and distributed KDD model for biomedical sources.
abstract: Knowledge discovery approaches in modern biomedical research usually require to access heterogeneous and remote data sources in a distributed environment. Traditional KDD models assumed a central repository, lacking mechanisms to access decentralized databases. In such distributed environment, ontologies can be used in all the KDD phases. We present here a new model of ontology-based KDD approach to improve data preprocessing from heterogeneous sources.
authors.affiliation: Biomedical Informatics Group, Artificial Intelligence Lab. Facultad de Informática, Universidad Politécnica de Madrid, Spain.
authors.forename: David
authors.initials: D
authors.lastname: Perez-Rey
authors.forename: Alberto
authors.initials: A
authors.lastname: Anguita
authors.forename: Jose
authors.initials: J
authors.lastname: Crespo
authors.forename: Victor
authors.initials: V
authors.lastname: Maojo
mesh_terms: D001185:Artificial Intelligence; D035843:Biomedical Research; D003625:Data Collection / Q000379:methods; D019451:Information Management; D016247:Information Storage and Retrieval; D018875:Vocabulary, Controlled