数据质量——数据驱动工程的关键成功因素

2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007) Pub Date : 2007-09-18 DOI:10.1109/NPC.2007.176

S. Sadiq, Xiaofang Zhou, M. Orlowska

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引用次数: 4

摘要

随着数字领域中数据的规模和多样性的增长，数据驱动工程的复杂性也随之成倍增长。最近几年出现了一些新的技术来满足这种需求——语义Web、网格系统、Web服务组合等等。然而，这些技术成功的根本基础在于它们所能提供的数据质量。一项技术的失败通常归因于其功能，而真正的问题在于它所使用和随后产生的数据的质量。在本文中，我们强调在数据驱动工程的各个方面都需要考虑数据质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Quality - The Key Success Factor for Data Driven Engineering

As the scale and diversity of data grows in the digital arena, the complexities of data driven engineering grow multifold with it. The last several years have brought forth several new technologies to service this need - semantic Web, grid systems, Web service composition to mention a few. However, a fundamental underpinning of the success of these technologies resides in the quality of data that they can provide. Often the failure of a technology is attributed to its functionality when the real problem lies in the quality of data it uses and subsequently produces. In this paper, we highlight a need to embrace data quality considerations in all aspects of data driven engineering.

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2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007)

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