# SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations

arXiv: https://arxiv.org/abs/2208.05627 · HTML: https://mlsanity.com/paper/2208.05627/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 10 references that are in the map.
- First posted on arXiv 11 Aug 2022.

## Abstract (arXiv)

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.