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
Siow, Eugene
01f33f70-e412-467c-aab2-5509d58d1b94
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
October 2016
Siow, Eugene
01f33f70-e412-467c-aab2-5509d58d1b94
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
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.
.
(doi:10.1007/978-3-319-46523-4_31).
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.
Text
sparql2sql.pdf
- Accepted Manuscript
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, Kobe, Japan, 2016-10-17 - 2016-10-21
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 397863
URI: http://eprints.soton.ac.uk/id/eprint/397863
ISSN: 0302-9743
PURE UUID: e39d4e23-4460-4983-b11b-ce2c1b157e5e
Catalogue record
Date deposited: 07 Jul 2016 15:39
Last modified: 16 Mar 2024 03:58
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Contributors
Author:
Eugene Siow
Author:
Thanassis Tiropanis
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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