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A Fine-Grained Evaluation of SPARQL Endpoint Federation Systems
Published on Nov 10, 20161282 Views
The Web of Data has grown enormously over the last years. Currently, it comprises a large compendium of interlinked and distributed datasets from multiple domains. Running complex queries on this comp
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Chapter list
A Fine-Grained Evaluation of SPARQL Endpoint Federation Systems00:00
Agenda00:17
SPARQL Query Federation Approaches00:53
SPARQL Endpoint Federation - 102:36
SPARQL Endpoint Federation - 202:55
SPARQL Endpoint Federation - 303:01
SPARQL Endpoint Federation - 403:08
SPARQL Endpoint Federation - 503:29
SPARQL Endpoint Federation - 604:18
SPARQL Endpoint Federation - 704:21
SPARQL Endpoint Federation - 804:23
SPARQL Endpoint Federation - 904:27
Types of Source Selection - 104:37
Types of Source Selection - 206:43
Survey : Federated SPARQL Engines - 107:20
Survey : Federated SPARQL Engines - 207:50
Survey : Federated SPARQL Engines - 308:24
Survey : Federated SPARQL Engines - 408:34
Survey : Federated SPARQL Engines - 508:51
Survey : Federated SPARQL Engines - 608:56
Survey : Federated SPARQL Engines - 709:04
Survey : Federated SPARQL Engines - 810:33
Survey : Federated SPARQL Engines - 910:36
Survey : Federated SPARQL Engines - 1010:46
Survey : Federated SPARQL Engines - 1110:51
Survey : Federated SPARQL Engines - 1210:56
Survey : Federated SPARQL Engines - 1310:58
Survey : Federated SPARQL Engines - 1411:06
Survey : Federated SPARQL Engines - 1511:13
Survey : Federated SPARQL Engines - 1611:14
Survey : Federated SPARQL Engines - 1711:17
Performance Variables11:26
Evaluation12:18
Number of Ask Requests13:09
Tripple Pattern-Wise Sources Selected13:37
Source Selection Time (MS)13:58
Result Completeness14:17
Query Runtime - 114:48
Query Runtime - 214:59
Query Runtime - 315:15
Effect of Data Partitioning - 115:25
Effect of Data Partitioning - 215:34
Thanks16:17