Projects per year
Abstract
Federated query engines optimize and execute SPARQL queries over the data accessible via SPARQL endpoints; even in the absence of information about which sources provide relevant data. Different query optimization strategies may produce different execution plans, which in many cases explains the huge differences in performance that we encounter with state-of-the-art federated query engines. Related work has so far mainly focused on execution time and number of selected sources, overlooking the importance of the execution plans themselves. In this demonstration paper, we therefore present PIPE, a tool that allows for comparing federated query engines in terms of performance, execution plans, and query answers. Currently, PIPE supports five state-of-the-art federated query engines; we provide a Java library for straightforward integration of additional federated query engines.
Original language | English |
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Title of host publication | The Semantic Web : ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers |
Editors | Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Stefan Schlobach, Maria-Esther Vidal, Maria Maleshkova, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh |
Number of pages | 6 |
Publisher | Springer |
Publication date | 2019 |
Pages | 105-110 |
ISBN (Print) | 978-3-030-32326-4 |
ISBN (Electronic) | 978-3-030-32327-1 |
DOIs | |
Publication status | Published - 2019 |
Event | 16th International Semantic Web Conference, ESWC 2019 - Portorož, Slovenia Duration: 2 Jun 2019 → 6 Jun 2019 |
Conference
Conference | 16th International Semantic Web Conference, ESWC 2019 |
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Country/Territory | Slovenia |
City | Portorož |
Period | 02/06/2019 → 06/06/2019 |
Sponsor | Elsevier, et al., QualiChain, Semantic Web Company, Siemens, STI International |
Series | Lecture Notes in Computer Science |
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Volume | 11762 |
ISSN | 0302-9743 |
Fingerprint
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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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.
01/02/2015 → 31/10/2019
Project: Research
Prizes
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ESWC 2019 Best Demo Award Nomination
Jakobsen, Anders Langballe (Recipient), Montoya, Gabriela (Recipient) & Hose, Katja (Recipient), 2019
Prize: Conference prizes