Computer Science > Artificial Intelligence
[Submitted on 11 Aug 2022 (v1), last revised 1 Sep 2022 (this version, v3)]
Title:SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
View PDFAbstract: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.
Submission history
From: Anj Simmons [view email][v1] Thu, 11 Aug 2022 03:56:10 UTC (619 KB)
[v2] Wed, 24 Aug 2022 02:58:35 UTC (703 KB)
[v3] Thu, 1 Sep 2022 01:56:54 UTC (697 KB)
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