Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.
In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.
Dhaval
Rakesh
R
Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
Borlawsky
Tara
T
Ostrander
Michael
M
Santangelo
Jennifer
J
Kamal
Jyoti
J
Payne
Philip R O
PR
D000465:Algorithms; D001185:Artificial Intelligence; D005568:Forms and Records Control / Q000458:organization & administration*; D007722:Health Knowledge, Attitudes, Practice; D016247:Information Storage and Retrieval / Q000379:methods; D008490:Medical Informatics / Q000458:organization & administration*; D009323:Natural Language Processing; D009820:Ohio; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics; D018511:Systems Integration