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- paper-21 label "On Correctness in RDF stream processor benchmarking".
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- paper-21 abstract "Two complementary benchmarks have been proposed so far for the evaluation and continuous improvement of RDF stream processors: SRBench and LSBench. They put a special focus on different features of the evaluated systems, including coverage of the streaming extensions of SPARQL supported by each processor, query processing throughput, and an early analysis of query evaluation correctness, based on comparing the results obtained by different processors for a set of queries. However, none of them has analysed the operational semantics of these processors in order to assess the correctness of query evaluation results. In this paper, we propose a characterization of the operational semantics of RDF stream processors, adapting well-known models used in the stream processing engine community: CQL and SECRET. Through this formalization, we address correctness in RDF stream processor benchmarks, allowing to determine the multiple answers that systems should provide. Finally, we present CSRBench, an extension of SRBench to address query result correctness verification using an automatic method.".
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- paper-21 title "On Correctness in RDF stream processor benchmarking".
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- paper-22 label "Geographica: A Benchmark for Geospatial RDF Stores".
- paper-22 sameAs paper-22.
- paper-22 abstract "Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the offered functionality and the performance of some prominent geospatial RDF stores.".
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- paper-22 title "Geographica: A Benchmark for Geospatial RDF Stores".
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- paper-23 type InProceedings.
- paper-23 label "Introducing Statistical Design of Experiments to SPARQL Endpoint Evaluation".
- paper-23 sameAs paper-23.
- paper-23 abstract "This paper argues that the common practice of benchmarking is inadequate as a scientific evaluation methodology. It further attempts to introduce the empirical tradition of the physical sciences by using techniques from Statistical Design of Experiments applied to the example of SPARQL endpoint performance evaluation. It does so by studying full as well as fractional factorial experiments designed to evaluate an assertion that some change introduced in a system has improved performance. This paper does not present a finished experimental design, rather its main focus is didactical, to shift the focus of the community away from benchmarking towards higher scientific rigor.".
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- paper-23 title "Introducing Statistical Design of Experiments to SPARQL Endpoint Evaluation".
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