title: Development of an ontology-anchored data warehouse meta-model.
abstract: Data warehouses must provide a flexible data model that is integrated with knowledge and metadata describing their components and contents. To provide for advanced query functionality at The Ohio State University Medical Center (OSUMC), we have developed an abstraction layer, or meta-model for our existing Information Warehouse (IW) in order to conceptually and semantically describe and classify its structure and contents using the UMLS.
authors.affiliation: The Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
authors.forename: Jyoti
authors.initials: J
authors.lastname: Kamal
authors.forename: Tara
authors.initials: T
authors.lastname: Borlawsky
authors.forename: Philip R O
authors.initials: PR
authors.lastname: Payne
mesh_terms: D019992:Databases as Topic / Q000145:classification / Q000458:organization & administration; D016247:Information Storage and Retrieval; D008962:Models, Theoretical; D017432:Unified Medical Language System