Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data summaries for on-demand queries over linked data
Proceedings of the 19th international conference on World wide web
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Semantics and optimization of the SPARQL 1.1 federation extension
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
DBpedia SPARQL benchmark: performance assessment with real queries on real data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
FedBench: a benchmark suite for federated semantic data query processing
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
FedX: optimization techniques for federated query processing on linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
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Federation of semantic data on SPARQL endpoints will allow data to remain distributed so that it can be controlled by local curators and swiftly updated. There are considerable performance problems, which the present work proposes to address, mainly by computation and exposure of statistical digests to assist selectivity estimation. For an objective evaluation as well as comparison of engines, benchmarks that exhaustively covers the parameter space is required. We propose an investigation into this problem using statistical experimental planning.