论文标题
Signalkg：朝着有关传感器观测的根本原因推理
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
论文作者
论文摘要
本文展示了我们对知识图的愿景，这些知识图可以帮助机器推理传感器观察到的信号原因。我们展示了该方法如何允许构建有关信号的最可能原因（例如，攻击者打破窗口）的智能监视系统，而不是直接在接收的信号上作用，而无需考虑其产生的方式。
This paper demonstrates our vision for knowledge graphs that assist machines to reason about the cause of signals observed by sensors. We show how the approach allows for constructing smarter surveillance systems that reason about the most likely cause (e.g., an attacker breaking a window) of a signal rather than acting directly on the received signal without consideration for how it was produced.
