Data fusion is the process of merging records from multiple sources which represent the same real-world object into a single representation. This review of the literature concerns Data Fusion in the context of data integration, i.e., the integration of structured and semi-structured data from the same domain, and provides an overview of this field of research. We present why data fusion is becoming increasingly necessary, what it is used for (What for?), what methods and solutions for data fusion have been proposed in the literature (In what form?), what research challenges are still open in the data fusion area and what future research directions could usefully take (What is next?)

中文翻译：

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数据融合调查：为什么？以什么形式？接下来是什么？

数据融合是将代表同一现实世界对象的多个来源的记录合并为单个表示的过程。这篇文献综述涉及数据集成上下文中的数据融合，即来自同一领域的结构化和半结构化数据的集成，并提供了该研究领域的概述。我们介绍了为什么数据融合变得越来越必要，它用于什么（What for？），文献中提出了哪些数据融合的方法和解决方案（以什么形式？），数据中仍然存在哪些研究挑战融合领域以及未来哪些研究方向可能有用（下一步是什么？）