Analysis of the Effect of Query Shapes on Performance over LDF Interfaces

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Abstrakt

The adoption of Semantic Web technologies, and in particular the Open Data initiative, has contributed to the steady growth of the number of datasets and triples accessible on the Web. Most commonly, queries over RDF data are evaluated over SPARQL endpoints. Recently, however, alternatives such as TPF have been proposed with the goal of shifting query processing load from the server running the SPARQL endpoint towards the client that issued the query. Although these interfaces have been evaluated against standard benchmarks and testbeds that showed their benefits over previous work in general, an evaluation of the effects of the query shapes on query performance of the different available interfaces has never been done. In this paper, we present the results of our in-depth evaluation of query shapes impact on the performance of existing LDF interfaces. Using representative and diverse query loads that are designed to include relevant query shapes and are based on the query log of a public SPARQL endpoint, we stress test the different interfaces and identify their strengths and weaknesses.
OriginalsprogEngelsk
TitelProceedings of the QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data co-located with 18th International Semantic Web Conference (ISWC 2019)
Antal sider16
Vol/bind2496
ForlagCEUR Workshop Proceedings
Publikationsdato2019
Sider51-66
StatusUdgivet - 2019
Begivenhed3rd Workshop on Querying and Benchmarking the Web of Data -
Varighed: 26 okt. 2019 → …
https://sites.google.com/site/quweda2019/

Workshop

Workshop3rd Workshop on Querying and Benchmarking the Web of Data
Periode26/10/2019 → …
Internetadresse
NavnCEUR Workshop Proceedings
ISSN1613-0073

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  • Projekter

    Unleashing the Potential of Open Data

    Hose, K.

    01/01/201731/12/2021

    Projekter: ProjektForskning

    QWeb: Querying the Web of Data Easily and Efficiently

    Hose, K., Montoya, G., Prado, L. A. G. D., Rouces, J., Mathiassen, K. A. M., Zervakis, E. & Setty, V.

    01/02/201531/10/2019

    Projekter: ProjektForskning

    Citationsformater

    Montoya, G., Keles, I., & Hose, K. (2019). Analysis of the Effect of Query Shapes on Performance over LDF Interfaces. I Proceedings of the QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data co-located with 18th International Semantic Web Conference (ISWC 2019) (Bind 2496, s. 51-66). CEUR Workshop Proceedings. CEUR Workshop Proceedings http://ceur-ws.org/Vol-2496/paper4.pdf