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International Conference on Internet Science

INSCI 2016: Internet Science pp 161–175Cite as

Interoperable and Efficient: Linked Data for the Internet of Things

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9934))

Abstract

Two requirements to utilise the large source of time-series sensor data from the Internet of Things are interoperability and efficient access. We present a Linked Data solution that increases interoperability through the use and referencing of common identifiers and ontologies for integration. From our study of the shape of Internet of Things data, we show how we can improve access within the resource constraints of Lightweight Computers, compact machines deployed in close proximity to sensors, by storing time-series data succinctly as rows and producing Linked Data ‘just-in-time’. We examine our approach within two scenarios: a distributed meteorological analytics system and a smart home hub. We show with established benchmarks that in comparison to storing the data in a traditional Linked Data store, our approach provides gains in both storage efficiency and query performance from over 3 times to over three orders of magnitude on Lightweight Computers. Finally, we reflect how pushing computing to edge networks with our infrastructure can affect privacy, data ownership and data locality.

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Notes

  1. 1.

    https://www.w3.org/2014/12/wot-ig-charter.html.

  2. 2.

    https://www.w3.org/2005/Incubator/ssn/ssnx/ssn.

  3. 3.

    http://dweet.io/see.

  4. 4.

    https://github.com/eugenesiow/iotdevices/releases/download/data/dweet_release.zip.

  5. 5.

    http://www.w3.org/TR/r2rml/.

  6. 6.

    https://jena.apache.org/documentation/query/.

  7. 7.

    https://github.com/eugenesiow/sparql2sql.

  8. 8.

    http://www.w3.org/wiki/SRBench.

  9. 9.

    https://github.com/eugenesiow/sparql2sql/wiki.

  10. 10.

    https://github.com/eugenesiow/lsd-ETL.

  11. 11.

    https://github.com/eugenesiow/ldanalytics-PiSmartHome/wiki/.

  12. 12.

    http://pi.webobservatory.me/info/datamodel.

  13. 13.

    https://jena.apache.org/documentation/tdb/.

  14. 14.

    http://www.h2database.com/.

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Author information

Authors and Affiliations

  1. Electronics and Computer Science, University of Southampton, Southampton, UK

    Eugene Siow, Thanassis Tiropanis & Wendy Hall

Authors
  1. Eugene Siow
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  2. Thanassis Tiropanis
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  3. Wendy Hall
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Corresponding author

Correspondence to Eugene Siow .

Editor information

Editors and Affiliations

  1. University of Florence, Florence, Italy

    Franco Bagnoli

  2. Center for Research and Technology, Thessaloniki, Greece

    Anna Satsiou

  3. National and Kapodistrian University, Athens, Greece

    Ioannis Stavrakakis

  4. University of Florence, Florence, Italy

    Paolo Nesi

  5. University of Florence, Florence, Italy

    Giovanna Pacini

  6. University of Zurich, Zürich, Switzerland

    Yanina Welp

  7. University of Southampton, Southampton, United Kingdom

    Thanassis Tiropanis

  8. University of Southampton, Southampton, United Kingdom

    Dominic DiFranzo

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© 2016 Springer International Publishing AG

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Siow, E., Tiropanis, T., Hall, W. (2016). Interoperable and Efficient: Linked Data for the Internet of Things. In: Bagnoli, F., et al. Internet Science. INSCI 2016. Lecture Notes in Computer Science(), vol 9934. Springer, Cham. https://doi.org/10.1007/978-3-319-45982-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-45982-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45981-3

  • Online ISBN: 978-3-319-45982-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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