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.
2020
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference
Aachen
CEUR-WS
Troumpoukis, Antonis; Konstantopoulos, Stasinos; Mouchakis, Giannis; Prokopaki-Kostopoulou, Nefeli; Paris, Claudia; Bruzzone, Lorenzo; Pantazi, Despin...espandi
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).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/364422
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