This paper presents an knowledge graph to assist in reasoning over signals for intelligence purposes. We highlight limitations of existing knowledge graphs and reasoning systems for this purpose, using inference of an attack using combined data from microphones, cameras and social media as an example. Rather than acting directly on the received signal, our approach considers attacker behaviour, signal emission, receiver characteristics, and how signals are summarised to support inferring the underlying cause of the signal.
翻译:本文提供了一个知识图,以协助为情报目的对信号进行推理;我们强调为此目的现有知识图和推理系统的局限性,以使用麦克风、照相机和社交媒体的综合数据推断攻击为例;我们的方法不是直接对收到的信号采取行动,而是考虑攻击者的行为、信号发射、接收器特性以及如何归纳信号,以支持推断信号的根本原因。