title: Ontology-driven mapping of temporal data in biomedical databases.
abstract: 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.
authors.affiliation: Stanford Medical Informatics, MSOB X233, Stanford University, Stanford, CA 94305, USA.
authors.forename: Preetha S
authors.initials: PS
authors.lastname: Narayanan
authors.forename: Martin J
authors.initials: MJ
authors.lastname: O'Connor
authors.forename: Amar K
authors.initials: AK
authors.lastname: Das
mesh_terms: D000465:Algorithms; D019992:Databases as Topic; D008490:Medical Informatics; D012984:Software; D013995:Time; D018875:Vocabulary, Controlled