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A Framework for Trust Establishment and Assessment on the Web of Data

机译:数据网络上的信任建立和评估框架

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With the enormous and still growing amount of data and user interaction on the Web, it becomes more and more necessary for data consumers to be able to assess the trustworthiness of data on the Web. In this paper, we present a framework for trust establishment and assessment on the Web of Data. Different from many approaches that build trust metrics within networks of people, we propose a model to represent the trust in concrete pieces of web data for a specific consumer, in which also the context is considered. Further more, we provide three strategies for trust assessment based on the principles of Linked Data, to overcome the shortcomings of the conventional web of documents: I.e. the lack of semantics and interlinking.
机译:随着Web上大量和仍在增长的数据以及用户交互,数据使用者越来越需要能够评估Web上数据的可信赖性。在本文中,我们提出了一个用于在Web数据上建立和评估信任的框架。与在人际网络中建立信任度量的许多方法不同,我们提出了一种模型来表示特定消费者对Web数据的具体部分中的信任,其中还考虑了上下文。此外,我们提供了基于链接数据原理的三种信任评估策略,以克服传统文档网络的缺点:缺乏语义和相互联系。

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