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Processing Aggregate Queries in a Federation of SPARQL Endpoints
Published on Jul 15, 20152066 Views
More andmore RDF data is exposed on theWeb via SPARQL endpoints. With the recent SPARQL 1.1 standard, these datasets can be queried in novel and more powerful ways, e.g., complex analysis tasks inv
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Chapter list
Processing Aggregate Queries in a Federation of SPARQL Endpoints00:00
Motivating Example00:27
Motivating Example - Observation01:17
Motivating Example - Query01:35
Motivating Example - Results02:44
Outline03:36
Basic Strategies - Mediator Join03:57
Basic Strategies - Semi-Join04:53
Basic Strategies - Semi-Join (Cont)05:35
Basic Strategies - Partial Aggregation06:33
Basic Strategies - Partial Aggregation (Cont)07:08
CODA – Cost-based Optimizer for Distributed Aggregate Queries 07:36
CODA - Costs08:17
CODA - Estimating Constants09:02
CODA - Result Size Estimation10:04
CODA – Motivating Example - 111:24
CODA – Motivating Example - 211:41
Test Case – SSB as RDF12:25
SSB RDF schema (partial)13:25
Test Case – SSB Queries13:41
Test Case – Results (One SERVICE Endpoint)14:00
Test Case – Results (One SERVICE Endpoint Q2.3)14:28
Test Case – Results (One to Three SERVICE Endpoints Q4.3)15:02
Conclusion and Future Work16:09