Development of an ontology-anchored data warehouse meta-model

Jyoti Kamal; Tara Borlawsky; Philip R O Payne

Development of an ontology-anchored data warehouse meta-model

AMIA Annu Symp Proc. 2007 Oct 11:1001.

Authors

Jyoti Kamal¹, Tara Borlawsky, Philip R O Payne

Affiliation

¹ The Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.

PMID: 18694100

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.

MeSH terms

Databases as Topic* / classification
Databases as Topic* / organization & administration
Information Storage and Retrieval
Models, Theoretical
Unified Medical Language System*