Performance benchmarks are invaluable for evaluating and comparing federated query processing systems, but it is hard to design benchmarks that are both realistic and informative about the systems being tested. In this paper we present GeoFedBench, a benchmark that has been obtained from an actual, practical application of geospatial and linked data querying and uses GeoSPARQL constructs that challenge all phases of federated query processing. The benchmark is publicly available as part of the Kobe suite.
GeoFedBench: A benchmark for federated GeoSPARQL query processors / Troumpoukis, Antonis; Konstantopoulos, Stasinos; Mouchakis, Giannis; Prokopaki-Kostopoulou, Nefeli; Paris, Claudia; Bruzzone, Lorenzo; Pantazi, Despina-Athanasia; Koubarakis, Manolis. - 2721:(2020), pp. 229-232. (Intervento presentato al convegno 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020 tenutosi a online nel 1st-6th November 2020).
GeoFedBench: A benchmark for federated GeoSPARQL query processors
Paris, Claudia;Bruzzone, Lorenzo;
2020-01-01
Abstract
Performance benchmarks are invaluable for evaluating and comparing federated query processing systems, but it is hard to design benchmarks that are both realistic and informative about the systems being tested. In this paper we present GeoFedBench, a benchmark that has been obtained from an actual, practical application of geospatial and linked data querying and uses GeoSPARQL constructs that challenge all phases of federated query processing. The benchmark is publicly available as part of the Kobe suite.| File | Dimensione | Formato | |
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