在信息海洋中航行：源依赖的发现与应用
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence
摘要：
网络使大量有用信息的可用性成为可能，但也减轻了通过多个来源传播虚假信息和谣言的能力，使人们难以区分什么是真的，什么是假的。最近的例子包括史蒂夫·乔布斯的讣告，联合航空公司的第二次破产，大型强子对撞机的运行创造了黑洞等，因为允许表达不同和相互矛盾的意见很重要，试图确保Web只提供一致的信息是一个谬误。然而，为了帮助将小麦从谷壳中分离出来，必须能够确定来源之间的依赖性。鉴于Web上有大量的数据源和大量相互冲突的数据，以可伸缩的方式这样做是极具挑战性的，现有的工作尚未解决。在本文中，我们提出了一系列的研究问题，并提出了一些初步的解决方案，发现源之间的依赖关系所涉及的问题。我们还讨论了这些知识如何使各种技术受益，如数据集成和Web 2.0，这些技术可以帮助用户管理和访问来自各种来源的全部可用信息。
英文摘要：
The Web has enabled the availability of a huge amount of useful information, but has also eased the ability to spread false information and rumors across multiple sources, making it hard to distinguish between what is true and what is not. Recent examples include the premature Steve Jobs obituary, the second bankruptcy of United airlines, the creation of Black Holes by the operation of the Large Hadron Collider, etc. Since it is important to permit the expression of dissenting and conflicting opinions, it would be a fallacy to try to ensure that the Web provides only consistent information. However, to help in separating the wheat from the chaff, it is essential to be able to determine dependence between sources. Given the huge number of data sources and the vast volume of conflicting data available on the Web, doing so in a scalable manner is extremely challenging and has not been addressed by existing work yet. In this paper, we present a set of research problems and propose some preliminary solutions on the issues involved in discovering dependence between sources. We also discuss how this knowledge can benefit a variety of technologies, such as data integration and Web 2.0, that help users manage and access the totality of the available information from various sources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
