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ONTOFUSION: ontology-based integration of genomic and clinical databases
D Pérez-Rey1, V Maojo, M García-Remesal
1Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politecnica de Madrid, 28660 Boadilla del Monte, Spain. dperez@infomed.dia.fi.upm.es
Abstract:
ONTOFUSION is an ontology-based system designed for biomedical database integration. It is based on two processes: mapping and unification. Mapping is a semi-automated process that uses ontologies to link a database schema with a conceptual framework-named virtual schema. There are three methodologies for creating virtual schemas, according to the origin of the domain ontology used: (1) top-down--e.g. using an existing ontology, such as the UMLS or Gene Ontology--, (2) bottom-up--building a new domain ontology-- and (3) a hybrid combination. Unification is an automated process for integrating ontologies and hence the database to which they are linked. Using these methods, we employed ONTOFUSION to integrate a large number of public genomic and clinical databases, as well as biomedical ontologies.
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