GeoFedBench: A benchmark for federated GeoSPARQL query processors

Antonis Troumpoukis; Stasinos Konstantopoulos; Giannis Mouchakis; Nefeli Prokopaki-Kostopoulou; Claudia Paris; Lorenzo Bruzzone; Despina Athanasia Pantazi; Manolis Koubarakis

GeoFedBench: A benchmark for federated GeoSPARQL query processors

Antonis Troumpoukis, Stasinos Konstantopoulos, Giannis Mouchakis, Nefeli Prokopaki-Kostopoulou, Claudia Paris, Lorenzo Bruzzone, Despina Athanasia Pantazi, Manolis Koubarakis

Research output: Contribution to journal › Conference article › Academic › peer-review

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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.

Original language	English
Pages (from-to)	229-232
Number of pages	4
Journal	CEUR workshop proceedings
Volume	2721
Publication status	Published - 2020
Externally published	Yes
Event	19th International Semantic Web Conference, ISWC 2020: From Novel Ideas to Industrial Practice - Virtual, Online Duration: 1 Nov 2020 → 6 Nov 2020 Conference number: 19

Keywords

Benchmarking
Federated querying
GeoSPARQL

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paper558Final published version, 283 KBLicence: CC BY

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title = "GeoFedBench: A benchmark for federated GeoSPARQL query processors",

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.",

keywords = "Benchmarking, Federated querying, GeoSPARQL",

author = "Antonis Troumpoukis and Stasinos Konstantopoulos and Giannis Mouchakis and Nefeli Prokopaki-Kostopoulou and Claudia Paris and Lorenzo Bruzzone and Pantazi, {Despina Athanasia} and Manolis Koubarakis",

note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 825258. Please see http://earthanalytics.eu for more details. Publisher Copyright: {\textcopyright} 2020 CEUR-WS. All rights reserved.; 19th International Semantic Web Conference, ISWC 2020 : From Novel Ideas to Industrial Practice, ISWC 2020 ; Conference date: 01-11-2020 Through 06-11-2020",

year = "2020",

language = "English",

volume = "2721",

pages = "229--232",

journal = "CEUR workshop proceedings",

issn = "1613-0073",

publisher = "CEUR",

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TY - JOUR

T1 - GeoFedBench

T2 - 19th International Semantic Web Conference, ISWC 2020

AU - Troumpoukis, Antonis

AU - Konstantopoulos, Stasinos

AU - Mouchakis, Giannis

AU - Prokopaki-Kostopoulou, Nefeli

AU - Paris, Claudia

AU - Bruzzone, Lorenzo

AU - Pantazi, Despina Athanasia

AU - Koubarakis, Manolis

N1 - Conference code: 19

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Benchmarking

KW - Federated querying

KW - GeoSPARQL

UR - http://www.scopus.com/inward/record.url?scp=85096227825&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85096227825

SN - 1613-0073

VL - 2721

SP - 229

EP - 232

JO - CEUR workshop proceedings

JF - CEUR workshop proceedings

Y2 - 1 November 2020 through 6 November 2020

ER -

GeoFedBench: A benchmark for federated GeoSPARQL query processors

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Keywords

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