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SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark
Published on Nov 10, 20161759 Views
SPARQL is the W3C standard query language for querying data expressed in the Resource Description Framework (RDF). The increasing amounts of RDF data available raise a major need and research interest
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SPARQLGX: Efficient Distributed Evaluation of SPARQL with Spark00:00
Motivations - 100:20
Motivations - 200:36
Motivations - 300:43
Motivations - 400:54
Motivations - 501:23
Graph and Triples, an example - 101:35
Graph and Triples, an example - 201:46
Graph and Triples, an example - 301:50
Graph and Triples, an example - 402:05
Graph and Triples, an example - 502:19
Graph and Triples, an example - 602:23
Graph and Triples, an example - 702:39
Vertical Partitioning - 103:16
Vertical Partitioning - 203:48
SPARQL Translation Process - 104:17
SPARQL Translation Process - 204:35
SPARQL Translation Process - 304:58
SPARQL Translation Process - 405:10
SPARQL Translation Process - 505:12
SPARQL Translation Process - 605:29
SPARQL Translation Process - 705:35
SPARQL Translation Process - 806:11
Join Order - 106:45
Join Order - 207:13
Join Order - 308:00
Experimental Performances - 109:21
Experimental Performances - 210:26
Conclusion12:01
Thank you.12:27