Difference between stream reasoning and machine learning

Hello guys,

I am trying to grasp the difference between machine learning(ML) and stream reasoning(SR)[1][2][3].

As I undestand it, machine learning is much more precise when it comes down to analysing data streams. Furthermore, it can deal with much more data than stream reasoning engines, like ETALIS, CQELS etc. .

However, basically ML and SR are basically doing the same, right? Hence, I was wondering which is much more appropriate in which situation to use. So when should someone consider to use stream reasoning and when machine learning?

I appreciate your replies!

• [1] http://www.w3.org/community/rsp/wiki/RDF_Stream_Processors_Implementation
• [2] http://wasp.cs.vu.nl/larkc/nefors10/paper/nefors10_paper_0.pdf
• [3] http://streamreasoning.org/