Abstract
| Original language | English |
|---|---|
| Title of host publication | The Semantic Web: ESWC 2019 Satellite Events |
| 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 |
| 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 |
|---|---|
| Country | 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 |
|---|---|
| Number | 11762 |
| Volume | LNCS |
| ISSN | 0302-9743 |
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How Diverse Are Federated Query Execution Plans Really? / Jakobsen, Anders Langballe; Montoya, Gabriela; Hose, Katja.
The Semantic Web: ESWC 2019 Satellite Events. Springer, 2019. p. 105-110 (Lecture Notes in Computer Science; No. 11762, Vol. LNCS).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
TY - GEN
T1 - How Diverse Are Federated Query Execution Plans Really?
AU - Jakobsen, Anders Langballe
AU - Montoya, Gabriela
AU - Hose, Katja
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
M3 - Article in proceeding
SN - 978-3-030-32326-4
T3 - Lecture Notes in Computer Science
SP - 105
EP - 110
BT - The Semantic Web: ESWC 2019 Satellite Events
PB - Springer
ER -