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SPARQL-to-SQL on internet of things databases and streams

SPARQL-to-SQL on internet of things databases and streams
SPARQL-to-SQL on internet of things databases and streams
To realise a semantic Web of Things, the challenge of achieving efficient Resource Description Format (RDF) storage and SPARQL query performance on Internet of Things (IoT) devices with limited resources has to be addressed. State-of-the-art SPARQL-to-SQL engines have been shown to outperform RDF stores on some benchmarks. In this paper, we describe an optimisation to the SPARQL-to-SQL approach, based on a study of time-series IoT data structures, that employs metadata abstraction and efficient translation by reusing existing SPARQL engines to produce Linked Data ‘just-in-time’. We evaluate our approach against RDF stores, state-of-the-art SPARQL-to-SQL engines and streaming SPARQL engines, in the context of IoT data and scenarios. We show that storage efficiency, with succinct row storage, and query performance can be improved from 2 times to 3 orders of magnitude.
515-531
Springer
Siow, Eugene
01f33f70-e412-467c-aab2-5509d58d1b94
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Groth, Paul
Simperl, Elena
Gray, Alasdair
Sabou, Marta
Krötzsch, Markus
Lecue, Freddy
Flöck, Fabian
Gil, Yoalnda
Siow, Eugene
01f33f70-e412-467c-aab2-5509d58d1b94
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Groth, Paul
Simperl, Elena
Gray, Alasdair
Sabou, Marta
Krötzsch, Markus
Lecue, Freddy
Flöck, Fabian
Gil, Yoalnda

Siow, Eugene, Tiropanis, Thanassis and Hall, Wendy (2016) SPARQL-to-SQL on internet of things databases and streams. Groth, Paul, Simperl, Elena, Gray, Alasdair, Sabou, Marta, Krötzsch, Markus, Lecue, Freddy, Flöck, Fabian and Gil, Yoalnda (eds.) In The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. vol. 9981, Springer. pp. 515-531.

Record type: Conference or Workshop Item (Paper)

Abstract

To realise a semantic Web of Things, the challenge of achieving efficient Resource Description Format (RDF) storage and SPARQL query performance on Internet of Things (IoT) devices with limited resources has to be addressed. State-of-the-art SPARQL-to-SQL engines have been shown to outperform RDF stores on some benchmarks. In this paper, we describe an optimisation to the SPARQL-to-SQL approach, based on a study of time-series IoT data structures, that employs metadata abstraction and efficient translation by reusing existing SPARQL engines to produce Linked Data ‘just-in-time’. We evaluate our approach against RDF stores, state-of-the-art SPARQL-to-SQL engines and streaming SPARQL engines, in the context of IoT data and scenarios. We show that storage efficiency, with succinct row storage, and query performance can be improved from 2 times to 3 orders of magnitude.

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More information

Accepted/In Press date: 1 June 2016
e-pub ahead of print date: 23 September 2016
Published date: October 2016
Venue - Dates: ISWC2016: The 15th International Semantic Web Conference, Japan, 2016-10-17 - 2016-10-21
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 397863
URI: https://eprints.soton.ac.uk/id/eprint/397863
PURE UUID: e39d4e23-4460-4983-b11b-ce2c1b157e5e
ORCID for Eugene Siow: ORCID iD orcid.org/0000-0002-3593-2436
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 07 Jul 2016 15:39
Last modified: 06 Jun 2018 13:20

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Contributors

Author: Eugene Siow ORCID iD
Author: Wendy Hall ORCID iD
Editor: Paul Groth
Editor: Elena Simperl
Editor: Alasdair Gray
Editor: Marta Sabou
Editor: Markus Krötzsch
Editor: Freddy Lecue
Editor: Fabian Flöck
Editor: Yoalnda Gil

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