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ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints
Published on 2011-11-254060 Views
Following the design rules of Linked Data, the number of available SPARQL endpoints that support remote query processing is quickly growing; however, because of the lack of adaptivity, query execution
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Presentation
ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints00:00
Motivation - Cloud of Linked Data - 100:11
Motivation - Cloud of Linked Data - 200:27
Motivation - Cloud of Linked Data - 300:39
Motivation – Accessing the Endpoints - 101:24
Motivation – Accessing the Endpoints - 201:48
Motivation – Accessing the Endpoints - 302:42
Motivation – Accessing the Endpoints - 403:04
Motivation – Accessing the Endpoints - 503:56
Motivation – Accessing the Endpoints - 604:05
Motivation – Accessing the Endpoints - 704:19
Motivation – Accessing the Endpoints - 804:23
Hash Join04:35
Symmetric Hash Join - 105:22
Symmetric Hash Join - 205:43
Symmetric Hash Join - 305:46
XJoin - Three Stages - 106:10
XJoin - Three Stages - 206:19
XJoin - Three Stages - 306:27
XJoin - Three Stages - 406:35
XJoin - Three Stages - 506:47
XJoin - Three Stages - 606:56
Our Challenges07:24
Agenda07:51
ANAPSID Architecture - 108:04
ANAPSID Architecture - 208:26
ANAPSID Architecture - 309:21
ANAPSID Architecture - 409:23
ANAPSID Architecture - 509:25
ANAPSID Architecture - 609:55
Our Approach10:19
Our Approach – agjoin & RJT - 110:43
Our Approach – agjoin & RJT - 211:09
Our Approach – agjoin & RJT - 311:24
Our Approach – agjoin & RJT - 411:30
Our Approach – agjoin & RJT - 511:36
Our Approach – agjoin & RJT - 611:45
Our Approach – agjoin & RJT - 711:46
Our Approach – agjoin & RJT - 811:47
Our Approach – agjoin & RJT - 911:48
Our Approach – agjoin & RJT - 1011:49
Our Approach - agjoin stages - 111:57
Our Approach - agjoin stages - 212:15
Our Approach - agjoin stages - 312:16
Our Approach - agjoin stages - 412:21
Our Approach - agjoin stages - 512:31
Our Approach - agjoin stages - 613:10
Related Work - 113:20
Related Work - 213:57
Experimental Study - 114:46
Experimental Study - 215:10
Experiment 1 – Real World Endpoints - 115:40
Experiment 1 – Real World Endpoints - 216:17
Experiment 2 - 116:42
Experiment 2 - 217:41
Experiment 2 - 318:45
Experiment 2 - 419:24
Conclusions & Future Work20:06
Many Thanks20:58