Research on Metadata-driven Enterprise Data Modeling System
Authors
Hong Miao, Jingsheng Sun, Shilun Ge, Nianxin Wang
Corresponding Author
Hong Miao
Available Online December 2010.
- DOI
- 10.2991/icebi.2010.9How to use a DOI?
- Keywords
- data item, metadata, model verification, enterprise data model, data standard
- 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.
- Copyright
- © 2010, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hong Miao AU - Jingsheng Sun AU - Shilun Ge AU - Nianxin Wang PY - 2010/12 DA - 2010/12 TI - Research on Metadata-driven Enterprise Data Modeling System BT - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010) PB - Atlantis Press SP - 58 EP - 64 SN - 1951-6851 UR - https://doi.org/10.2991/icebi.2010.9 DO - 10.2991/icebi.2010.9 ID - Miao2010/12 ER -