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FEASIBLE: A Featured-Based SPARQL Benchmarks Generation Framework
Published on 2015-11-101413 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
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Presentation
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