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ASPG: generating OLAP queries for SPARQL benchmarking

ASPG: generating OLAP queries for SPARQL benchmarking
ASPG: generating OLAP queries for SPARQL benchmarking
The increasing use of data analytics on Linked Data leads to the requirement for SPARQL engines to efficiently execute Online Analytical Processing (OLAP) queries. While SPARQL 1.1 provides basic constructs, further development on optimising OLAP queries lacks benchmarks that mimic the data distributions found in Link Data. Existing work on OLAP benchmarking for SPARQL has usually adopted queries and data from relational databases, which may not well represent Linked Data. We propose an approach that maps typical OLAP operations to SPARQL and a tool named ASPG to automatically generate OLAP queries from real-world Linked Data. We evaluate ASPG by constructing a benchmark called DBOB from the online DBpedia endpoint, and use DBOB to measure the performance of the Virtuoso engine.
Wang, Xin
735297cd-af6a-430e-bf68-8550d1a2f60b
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Wang, Xin
735297cd-af6a-430e-bf68-8550d1a2f60b
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8

Wang, Xin, Staab, Steffen and Tiropanis, Thanassis (2016) ASPG: generating OLAP queries for SPARQL benchmarking. Joint International Semantic Technology Conference (JIST2016), Singapore, Singapore. 02 - 04 Nov 2016. 15 pp . (doi:10.1007/978-3-319-50112-3_13).

Record type: Conference or Workshop Item (Paper)

Abstract

The increasing use of data analytics on Linked Data leads to the requirement for SPARQL engines to efficiently execute Online Analytical Processing (OLAP) queries. While SPARQL 1.1 provides basic constructs, further development on optimising OLAP queries lacks benchmarks that mimic the data distributions found in Link Data. Existing work on OLAP benchmarking for SPARQL has usually adopted queries and data from relational databases, which may not well represent Linked Data. We propose an approach that maps typical OLAP operations to SPARQL and a tool named ASPG to automatically generate OLAP queries from real-world Linked Data. We evaluate ASPG by constructing a benchmark called DBOB from the online DBpedia endpoint, and use DBOB to measure the performance of the Virtuoso engine.

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e-pub ahead of print date: 27 November 2016
Published date: 2016
Venue - Dates: Joint International Semantic Technology Conference (JIST2016), Singapore, Singapore, 2016-11-02 - 2016-11-04
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 393792
URI: http://eprints.soton.ac.uk/id/eprint/393792
PURE UUID: b90ae8b3-a4fa-4388-8ec3-8b0579db8d59
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852

Catalogue record

Date deposited: 04 May 2016 11:30
Last modified: 07 Oct 2020 02:07

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Contributors

Author: Xin Wang
Author: Steffen Staab ORCID iD
Author: Thanassis Tiropanis ORCID iD

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