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The Odyssey Approach for Optimizing Federated SPARQL Queries
Published on Nov 28, 2017793 Views
Answering queries over a federation of SPARQL endpoints requires combining data from more than one data source. Optimizing queries in such scenarios is particularly challenging not only because of (i)
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Chapter list
The Odyssey Approach for Optimizing Federated SPARQL Queries00:00
Optimizing Federated SPARQL Queries00:03
Existing approaches00:29
Considering joins between triple patterns improves the optimization01:21
Contributions01:54
Statistics computation at one location02:22
Statistics computation at one location02:40
CSs are connected to other CSs04:03
Cardinality computation04:41
Cardinality estimation05:36
Federated computation of statistics06:01
Federated computation of statistics - 106:53
Odyssey’s Query Optimization07:46
Odyssey’s Query Optimization - 108:03
Odyssey provides a better plan08:50
Experimental setup09:08
Odyssey’s Optimization Time is comparable with other approaches’09:40
Odyssey’s plans have less subqueries than other approaches’ plans10:20
Odyssey’s plans are overall executed faster than other approaches’ plans11:00
Conclusions11:48
Future works12:07
Questions12:28