Ontology-driven mapping of temporal data in biomedical databases.
Biomedical databases contain considerable amounts of time-oriented data, which are not typically in a format suitable for querying complex temporal patterns. We address this problem in implementing Synchronus, a tool for ontology-driven mapping of data from an existing relational database to a database schema with a uniform temporal representation. We discuss the design of Synchronus, which consists of a schema-mapping ontology and a data-mapping algorithm that together provide general capabilities for database transformation.
Narayanan
Preetha S
PS
Stanford Medical Informatics, MSOB X233, Stanford University, Stanford, CA 94305, USA.
O'Connor
Martin J
MJ
Das
Amar K
AK
D000465:Algorithms; D019992:Databases as Topic; D008490:Medical Informatics; D012984:Software; D013995:Time; D018875:Vocabulary, Controlled