Document Detail


Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.
MedLine Citation:
PMID:  18999040     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Rakesh Dhaval; Tara Borlawsky; Michael Ostrander; Jennifer Santangelo; Jyoti Kamal; Philip R O Payne
Publication Detail:
Type:  Journal Article     Date:  2008-11-06
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  -     ISSN:  1942-597X     ISO Abbreviation:  -     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-12     Completed Date:  2010-01-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  929     Citation Subset:  IM    
Affiliation:
Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artificial Intelligence
Forms and Records Control / organization & administration*
Health Knowledge, Attitudes, Practice*
Information Storage and Retrieval / methods
Medical Informatics / organization & administration*
Natural Language Processing*
Ohio
Pattern Recognition, Automated / methods*
Semantics*
Systems Integration

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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