  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.
