title: |
Research on Metadata-driven Enterprise Data Modeling System |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-40-6 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/icebi.2010.9 (how to use a DOI) | |
author(s): |
Hong Miao, Jingsheng Sun, Shilun Ge, Nianxin Wang |
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publication date: |
December 2010 |
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keywords: |
data item, metadata, model
verification, enterprise data model, data
standard |
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abstract: |
Since the existing mass data resource in
enterprises has never generated any
reuse-value, this paper proposes a framework for enterprise data modeling, verification and management driven by metadata. It starts from the building-up of metadata base, and then checks and verifies
the metadata at different levels. It also put
forward a metadata management strategy
followed by MOF standard. With such
foundation, the model elements and
fragments can be drawn out from the metadata items to mapping between the metadata and data model. Such a framework
can contribute a lot to develop enterprise
data standard and construct a unified data
modeling platform. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |