SPARQL-to-SQL on internet of things databases and streams
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 20753628
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-46523-4_31
- Title of conference / published proceedings
- The Semantic Web – ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
- First page
- 515
- Volume
- 9981
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Given the significance of efficient access IoT datasets in linked data formats which are often available on resource-limited lightweight computers such as raspberry Pi, this paper makes a contribution to the Semantic Web community by proposing an optimisation in SPARQL-to-SQL engines that can be of up to three orders of magnitude. It has been accepted at ISWC which is the top conference on the semantic web.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -