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Sparklify: A Scalable Software Component for Efficient evaluation of SPARQL queries over distributed RDF datasets
Published on Nov 27, 201972 Views
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Chapter list
Sparklify00:00
Overview - 100:03
Motivation - 100:50
Motivation - 200:58
Motivation - 301:21
Overview - 201:33
Apache Spark01:37
Sparqlify02:52
Sansa-Stack03:48
Overview - 304:46
RDF-Term aware Vertical Partitioning - 105:40
RDF-Term aware Vertical Partitioning - 205:56
RDF-Term aware Vertical Partitioning - 306:36
RDF-Term aware Vertical Partitioning - 406:44
RDF Views over Tables - 106:56
RDF Views over Tables - 207:37
RDF Views over Tables - 307:42
Querying08:24
Overview - 408:50
Evaluation - 108:52
Evaluation - 209:56
Small dataset size10:38
Large Dataset (WatDiv)11:33
Large Dataset - LUBM11:42
Overall runtimes across all WatDiv datasets12:23
Sparklify vs SPARQLGX-SDE with different number of workers on WatDiv 100M12:59
Sparklify vs SPARQLGX-SDE Per-query type performance on WatDiv 100M13:28
Use Cases14:03
Conclusions & Future Work14:54
Q & A15:22