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Towards a Privacy Conserved and Linked Open Data Based Device Recommendation in IoT

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Service-Oriented Computing – ICSOC 2020 Workshops (ICSOC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12632))

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Abstract

Interconnecting Internet of Things (IoT) devices creates a network of services capable of working together to accomplish certain goals in different domains. The heterogeneous nature of IoT environments makes it critical to find devices that extend existing architectures and helps in reaching the desired goal; especially if we have to take into consideration data privacy. In this paper, we present a Linked Open Data (LOD) based approach to semantically annotate and recommend IoT devices while adding a layer of data security and privacy through implementing the SOLID (SOcial LInked Data) framework.

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Notes

  1. 1.

    https://www.w3.org/Protocols/.

  2. 2.

    https://www.w3.org/2001/sw/wiki/REST.

  3. 3.

    https://solidproject.org/.

  4. 4.

    https://www.w3.org/wiki/WebID.

  5. 5.

    https://github.com/FouadKom/lds.

  6. 6.

    https://www.onem2m.org/.

  7. 7.

    https://www.fiware.org/developers/catalogue/.

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Author information

Authors and Affiliations

  1. University of Tours, Tours, France

    Fouad Komeiha, Nasredine Cheniki, Yacine Sam, Nizar Messai & Thomas Devogele

  2. Lebanese University, Beirut, Lebanon

    Fouad Komeiha & Ali Jaber

Authors
  1. Fouad Komeiha
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  2. Nasredine Cheniki
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  3. Yacine Sam
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  4. Ali Jaber
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  5. Nizar Messai
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  6. Thomas Devogele
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Corresponding author

Correspondence to Fouad Komeiha .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  2. Zayed University, Dubai, United Arab Emirates

    Fatma Outay

  3. University of New South Wales, Sydney, NSW, Australia

    Hye-young Paik

  4. Huawei Paris Research Center, Paris, France

    Amira Alloum

  5. National Research Council C.N.R., Pisa, Italy

    Marinella Petrocchi

  6. Deakin University, Waurn Ponds, VIC, Australia

    Mohamed Reda Bouadjenek

  7. Macquarie University, Sydney, NSW, Australia

    Amin Beheshti

  8. Rochester Institute of Technology, Rochester, NY, USA

    Xumin Liu

  9. Université de Paris, Paris, France

    Abderrahmane Maaradji

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Komeiha, F., Cheniki, N., Sam, Y., Jaber, A., Messai, N., Devogele, T. (2021). Towards a Privacy Conserved and Linked Open Data Based Device Recommendation in IoT. In: Hacid, H., et al. Service-Oriented Computing – ICSOC 2020 Workshops. ICSOC 2020. Lecture Notes in Computer Science(), vol 12632. Springer, Cham. https://doi.org/10.1007/978-3-030-76352-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-76352-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76351-0

  • Online ISBN: 978-3-030-76352-7

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