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Capturing the Provenance of Internet of Things Deployments

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Provenance and Annotation of Data and Processes (IPAW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11017))

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Abstract

This paper introduces the System Deployment Provenance Ontology and an associated set of provenance templates. These can be used to describe Internet of Things deployments.

David Corsar’s email address for correspondance is d.corsar1@rgu.ac.uk.

The research described here is supported by the RCUK Digital Economy programme award made to the University of Aberdeen; award reference: EP/N028074/1.

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Notes

  1. 1.

    http://www.trustlens.org.

  2. 2.

    Defined by the SSN namespace http://www.w3.org/ns/ssn/, abbreviated to “ssn”.

  3. 3.

    Defined by the SOSA namespace http://www.w3.org/ns/sosa/, abbreviated to “sosa”.

  4. 4.

    Namespace http://www.w3id.org/sdpo/, abbreviated to “sdpo”.

  5. 5.

    Namespace http://www.w3.org/ns/prov#, abbreviated to “prov”.

  6. 6.

    SDPO views a ssn:Deployment as an activity during which, for example, a sensor performs the act(s) of making one (or more) observations.

  7. 7.

    https://provenance.ecs.soton.ac.uk/prov-template/.

  8. 8.

    https://lucmoreau.github.io/ProvToolbox/.

  9. 9.

    The templates are available at http://www.github.com/TrustLens/sdpo.

  10. 10.

    Note :electricSensor1 is not invalidated, as it may subsequently be used by a repair or recycling activity.

  11. 11.

    Namespace http://purl.org/net/p-plan#, abbreviated to “p-plan”.

  12. 12.

    SDPO also defines the steps sdpo:Sample and sdpo:Actuate corresponding to the sosa:Sampling and sosa:Actuation acts defined by SSNO.

References

  1. Alliance for Internet of Things Innovation: AIOTI Strategy 2017–2021 (2017)

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  2. Almeida, V.A.F., Doneda, D., Monteiro, M.: Governance challenges for the internet of things. IEEE Internet Comput. 19(4), 56–59 (2015)

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  3. Compton, M., Corsar, D., Taylor, K.: Sensor data provenance: SSNO & PROV-O together at last. In: Proceedings of 7th International Workshop on Semantic Sensor Networks, vol. 1401. CEUR (2014)

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  4. Haller, A., Janowicz, K., Cox, S., Le Phyoc, D., Taylor, K., Lefrancois, M.: Semantic sensor network ontology. W3C Recommendation, March 2018

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  5. Williams, R., et al.: Air Sensor Guidebook. U.S. EPA (2014). ePA/600/R-14/159

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Author information

Authors and Affiliations

  1. Computing Science, University of Aberdeen, Aberdeen, UK

    David Corsar, Milan Markovic & Peter Edwards

Authors
  1. David Corsar
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  2. Milan Markovic
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  3. Peter Edwards
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Corresponding author

Correspondence to David Corsar .

Editor information

Editors and Affiliations

  1. Paris Dauphine University, Paris, France

    Khalid Belhajjame

  2. SRI International, Menlo Park, CA, USA

    Ashish Gehani

  3. University of Luxembourg, Belvaux, Luxembourg

    Pinar Alper

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Corsar, D., Markovic, M., Edwards, P. (2018). Capturing the Provenance of Internet of Things Deployments. In: Belhajjame, K., Gehani, A., Alper, P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Lecture Notes in Computer Science(), vol 11017. Springer, Cham. https://doi.org/10.1007/978-3-319-98379-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-98379-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98378-3

  • Online ISBN: 978-3-319-98379-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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