0.25
0.5
0.75
1.25
1.5
1.75
2
FEASIBLE: A Featured-Based SPARQL Benchmarks Generation Framework
Published on Nov 10, 20151400 Views
Benchmarking is indispensable when aiming to assess technologies with respect to their suitability for given tasks. While several benchmarks and benchmark generation frameworks have been developed t
Related categories
Chapter list
FEASIBLE: A Feature - Based SPARQL Benchmark Generation Framework00:00
Triple Stores Benchmarks01:18
DBpedia SPARQL Benchmark03:21
FEASIBLE SPARQL Benchmark - 104:49
FEASIBLE SPARQL Benchmark - 205:30
Dataset Cleaning05:50
Feature Vectors and Normalization06:21
Selection of exemplars - 108:00
Selection of exemplars - 209:04
Selection of exemplars - 309:26
Selection of exemplars - 410:17
Selection of exemplars - 510:30
Selection of exemplars - 610:32
Selection of exemplars - 710:44
Selection of Benchmark Queries - 110:46
Selection of Benchmark Queries - 211:01
Selection of Benchmark Queries - 311:09
Selection of Benchmark Queries - 411:12
Selection of Benchmark Queries - 511:14
Selection of Benchmark Queries - 711:15
Selection of Benchmark Queries - 811:16
Selection of Benchmark Queries - 911:17
Selection of Benchmark Queries - 1011:33
Selection of Benchmark Queries - 1111:35
Selection of Benchmark Queries - 1211:37
Selection of Benchmark Queries - 1311:51
Selection of Benchmark Queries - 1411:56
Experimental Setup - 111:58
Experimental Setup - 212:19
Comparison of Composite Error12:34
Comparison of Triple Stores: QpS13:07
Comparison of Triple Stores: Mix Queries13:31
Rank-wise Ranking of Triple Stores13:41
Thanks14:41