0.25
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1.75
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LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation
Published on Nov 22, 20183265 Views
Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real
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Chapter list
LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation00:00
Agenda00:02
Federated queries benchmark00:19
important data features00:54
important query features02:09
important performance metrics03:58
Largerdfbench04:47
Largerdfbench datasets statistics05:54
Datasets structuredness06:34
Number of results07:23
Average query execution times08:25
Number of triple patterns09:48
Number of join vertices10:04
Mean join vertices degree10:16
Number of disinct sources span10:36
mean triple patterns selectivity10:48
mean BGP-REST. TP selectivity10:59
Mean join-rest. TP selectivity11:06
Results: Simple queries11:17
Results: Complex queries11:49
Results: Large Data12:17
Results: Complex + High Sources12:46
Spearmans rank correlation with runtimes13:09
Thanks15:53
Conclusion16:05