Ten years of Stream Reasoning. Now what?

Tracking #: 430-1410


Responsible editor: 

Tobias Kuhn

Submission Type: 

Position Paper


Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and in this article we analyse its growth. In the first part, we trace the main results obtained so far, by presenting the most prominent studies. Looking at the past is useful to prepare for the future: in the second part, we present a set of open challenges and issues that stream reasoning will face in the next future.



  • Reviewed

Data repository URLs: 


Date of Submission: 

Thursday, March 2, 2017

Date of Decision: 

Monday, March 27, 2017



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