异构领域的数据协调

2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010) Pub Date : 2010-03-01 DOI:10.1109/ICDEW.2010.5452757

Michael K. Lawrence, R. Pottinger, S. Staub-French

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引用次数: 3

摘要

现有的用于协调数据的语义集成方法不能满足包含数据源之间细粒度关系的现实场景的需要。在本文中，我们描述了对流行的GLAV映射形式的扩展来表达这种关系。我们概述了使用这些映射解决数据协调问题的方法，并讨论了在实践中发生的异构领域场景中实现数据协调的未来研究问题。

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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Coordination of data in heterogenous domains

Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sources. In this paper, we describe extensions to the popular GLAV mapping formalism to express such relationships. We outline methods for solving the data coordination problem using these mappings, and discuss future research problems for data coordination to be realized in heterogeneous domain scenarios that occur in practice.

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2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)

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