The Web of Things (WoT) aims to connect everyday objects to the Web. With the data provided by these connected objects, we can build several interesting applications by composing WoT services which collect and process WoT data and give orders to objects. Often, WoT data are uncertain and correlated due to various reasons. In this paper, we propose a probabilistic approach based on Bayesian networks to model and evaluate the composition of WoT services with uncertain and correlated data. Our approach is implemented and evaluated and the obtained results are promising.

中文翻译：

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用不确定和相关的数据组成WoT服务

物联网（WoT）旨在将日常对象连接到Web。利用这些连接对象提供的数据，我们可以通过组合WoT服务来构建一些有趣的应用程序，该服务收集和处理WoT数据并向对象下达命令。通常，由于各种原因，WoT数据是不确定的且相关的。在本文中，我们提出了一种基于贝叶斯网络的概率方法，用于对具有不确定性和相关数据的WoT服务的组成进行建模和评估。我们的方法得到了实施和评估，获得的结果很有希望。