| Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse. | |
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MedLine Citation:
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PMID: 18999040 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Rakesh Dhaval; Tara Borlawsky; Michael Ostrander; Jennifer Santangelo; Jyoti Kamal; Philip R O Payne |
Publication Detail:
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Type: Journal Article Date: 2008-11-06 |
Journal Detail:
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Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: - ISSN: 1942-597X ISO Abbreviation: - Publication Date: 2008 |
Date Detail:
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Created Date: 2008-11-12 Completed Date: 2010-01-08 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 929 Citation Subset: IM |
Affiliation:
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Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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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