A Practical Approach: Localization-Based Global Metadata Registry for Progressive Data Integration

A Practical Approach: Localization-Based Global Metadata Registry for Progressive Data Integration
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实用方法:用于渐进式数据集成的基于本地化的全局元数据注册表

DOI:
10.1142/s0219649203000577
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发表时间:
2003
期刊:
J. Inf. Knowl. Manag.
影响因子:
--
通讯作者:
Soo
Soo
中科院分区:
--
文献类型:
--
作者:
Dongwon Jeong;D. Baik;Soo

文献摘要

被引文献

相似文献

到目前为止,已经有很多基于元数据的研究被用于各个领域的数据集成。然而,存在一个问题,因为现有的方法仍然需要很大的成本来建立初始指导方针,这有时被称为注册表、全局元数据集。现有研究中最关键的问题是没有认真考虑相应的领域属性--数据层和用户层。最重要的是,在成本受限的情况下,很难为整个数据创建一个标准化的指南。在本文中,我们提出了一种在有限代价下考虑领域属性的渐进式集成数据库的方法。例如,在科学数据中,普通用户对简单易懂、复杂度较低的科学数据感兴趣。另一方面,科学家或专家可以利用更详细和专业的数据以及一般数据。这意味着要集成的初始数据量由域属性的关系确定。给出了将其应用于韩国科学技术信息研究所管理的科学数据的实施结果。该方法提供了一种渐进的数据集成机制,特别是在给定成本有限的情况下,它在创建标准指南方面给出了成功和高效的输出。
Until now, many researches based on metadata have been studied for data integration in various fields. However, there exists a problem in that the existing approaches still require much cost to build an initial guideline, which is sometimes called as a registry, global metadata set. The most critical problem of existing researches is that the researches have not been seriously considered on the corresponding domain properties- data level and user level. Most of all, it is difficult to create a standardized guideline on the entire data with the restricted cost. In this paper, we propose a method to progressively integrate databases considering the domain properties under limited cost. For instance, in scientific data, general users are interested in the simple and easy scientific data, which has low complexity. On the other hand, scientists or experts can utilize more detailed and specialized data as well as the general data. It means that an initial data quantity to be integrated is determined by the relationship of the domain properties. We show the implementation results of applying it to scientific data managed by Korea Institute of Science and Technology Information. The proposed method provides a progressive data integration mechanism, and especially it gives successful and efficient output on the creation of a standard guideline in the situation where the given cost is limited.