An ontology-based and distributed KDD model for biomedical sources.
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.
Perez-Rey
David
D
Biomedical Informatics Group, Artificial Intelligence Lab. Facultad de Informática, Universidad Politécnica de Madrid, Spain.
Anguita
Alberto
A
Crespo
Jose
J
Maojo
Victor
V
D001185:Artificial Intelligence; D035843:Biomedical Research; D003625:Data Collection / Q000379:methods; D019451:Information Management; D016247:Information Storage and Retrieval; D018875:Vocabulary, Controlled