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Linked Data-Driven Smart Spaces

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

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Abstract

In this paper, we present an approach to exploit Linked Data in Smart Spaces, doing more than just using RDF to represent information. In particular, we rely on knowledge stored in DBpedia, a dataset in the Web of Data. We also provide a platform to implement such an approach and a eTourism use case, both developed in collaboration with a mobile operator. Finally, we provide also a performance evaluation of the main component of the platform.

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Author information

Authors and Affiliations

  1. Politecnico di Torino, corso Duca degli Abruzzi 24, 10129, Turin, Italy

    Oscar Rodríguez Rocha, Cristhian Figueroa & Iacopo Vagliano

  2. Telecom Italia, via G. Reiss Romoli, 274, 10148, Turin, Italy

    Boris Moltchanov

Authors
  1. Oscar Rodríguez Rocha
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  2. Cristhian Figueroa
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  3. Iacopo Vagliano
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  4. Boris Moltchanov
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Editor information

Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B,, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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Rodríguez Rocha, O., Figueroa, C., Vagliano, I., Moltchanov, B. (2014). Linked Data-Driven Smart Spaces. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-10353-2_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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