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Seven Commandments for Benchmarking Semantic Flow Processing Systems
Published on Jul 08, 20132619 Views
Over the last few years, the processing of dynamic data has gained increasing attention in the Semantic Web community. This led to the development of several stream reasoning systems that enable on-th
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Chapter list
Seven Commandments for Benchmarking Semantic Flow Processing Systems00:00
Perfect Benchmark - 100:51
The nature of flows requires a paradigmatic change01:43
Transient Data - Flow Processing Systems02:38
Flow Processing Systems03:10
Great, but what about semantics?03:48
Semantics – the missing bit for Information Flow Processing - 204:50
From Triples Stores to Flows of RDF05:25
Benchmarking06:45
Why Should You Care? - 109:10
Why Should You Care? - 210:06
Benchmarking RDF stream engines10:52
SFP Systems are Reactive13:08
The is no benchmark to test them all!14:26
From analyzing the key challenges15:23
Perfect Benchmark - 216:13
Properties of Semantic Flow Processing Systems16:22
Challenge C1: Managing Background Data17:04
Challenge C2: Expressive Power of Inference18:07
Challenge C3: Time Modeling18:38
Challenge C4: Querying18:53
Challenge C5: Managing Bursts19:24
How close are we from the Perfect Benchmark?19:32
Perfect Benchmark - 320:08
Limitations20:29
Conclusion21:48
Semantics – the missing bit for Information Flow Processing - 127:08