Abstract : The proliferation of semantic data on the Web requires RDF database systems to constantly improve their scalability and efficiency. At the same time, users are increasingly interested in investigating large collections of online data by performing complex analytic queries (e.g.,“how did university student performance evolve over the last 5 years?”). This paper introduces a novel benchmark for evaluating and comparing the efficiency of Semantic Web data management systems on analytic queries. Our benchmark models a real-world setting derived from the Bologna process and offers a broad set of queries reflecting a large panel of concrete, data-intensive user needs.
Type de document :
Communication dans un congrès
Karl Aberer; Ernesto Damiani; Tharam Dillon. 1st International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2011, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-116, pp.82-102, 2012, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-34044-4_5〉
https://hal.inria.fr/hal-01515542
Contributeur : Hal Ifip
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Soumis le : jeudi 27 avril 2017 - 16:36:14
Dernière modification le : samedi 16 décembre 2017 - 17:00:02
Document(s) archivé(s) le : vendredi 28 juillet 2017 - 13:33:00
Gianluca Demartini, Iliya Enchev, Marcin Wylot, Joël Gapany, Philippe Cudré-Mauroux. BowlognaBench—Benchmarking RDF Analytics. Karl Aberer; Ernesto Damiani; Tharam Dillon. 1st International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2011, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-116, pp.82-102, 2012, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-34044-4_5〉. 〈hal-01515542〉
