动态环境中基于模式的信息集成

Jürgen Göres
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引用次数: 5

摘要

方便地获取信息是科学和商业的一个重要因素。虽然互联网技术已经为公众提供了大量的数据,但这些数据主要以人类可读的格式提供。现在,新技术使直接访问数以百万计的结构化或半结构化数据库成为可能,但只有通过集成这些数据源才能获得最大的好处。传统的信息集成方法涉及人力开发团队,并在具有一组稳定数据源的受控环境中工作,由于这种环境的动态性,这种方法不适用。因此,这一过程需要更高程度的自动化。我们提出了PALADIN项目(大规模动态信息集成的基于模式的体系结构),它使用机器可理解的模式来捕获和应用集成规划过程中的专家经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pattern-based information integration in dynamic environments
The convenient availability of information is an essential factor in science and business. While Internet technology has made large amounts of data available to the general public, the data is largely provided in human-readable format only. New technologies are now making direct access to millions of structured or semi-structured databases possible, but only through integration of these data sources maximum benefit can be gained. Traditional approaches to information integration, which involve human development teams and work in a controlled environment with a stable set of data sources, are not applicable due to the dynamic nature of such an environment. Therefore a higher degree of automation of this process is required. We present the PALADIN project (Pattern-based Architecture for LArge-scale Dynamic INformation integration), that uses machine-understandable patterns to capture and apply expert experience in the integration planning process.
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