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\(\mu \)RDF Store: Towards Extending the Semantic Web to Embedded Devices

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Book cover The Semantic Web: ESWC 2017 Satellite Events (ESWC 2017)

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Abstract

This paper presents the \(\mu \)RDF store, a triple store designed for micro-controllers with limited memory, typically 8 to 64 kB. The \(\mu \)RDF store exposes a query interface inspired by SPARQL that supports basic graph pattern queries. Data is sent over CoAP and serialized in EXI, a binary format for XML.

The performances of its processing engine are demonstrated in a Web chat application where the \(\mu \)RDF store can be submitted queries. The application is available at: https://vcharpenay.github.io/urdf-amaa/.

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Notes

  1. 1.

    The demonstration presented in this paper also exploits this partitioning of the result set with MQTT, another IoT protocol: each mapping is published in a separate MQTT message.

  2. 2.

    See https://github.com/vcharpenay/urdf-store-exp for more details.

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Author information

Authors and Affiliations

  1. Siemens AG — Corporate Technology, Munich, Germany

    Victor Charpenay & Sebastian Käbisch

  2. Fakultät für Informatik und Mathematik, Universität Passau, Passau, Germany

    Victor Charpenay & Harald Kosch

Authors
  1. Victor Charpenay
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  2. Sebastian Käbisch
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  3. Harald Kosch
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Corresponding author

Correspondence to Victor Charpenay .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Eva Blomqvist

  2. Aalborg University, Aalborg, Denmark

    Katja Hose

  3. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  4. Poznan University of Technology, Poznan, Poland

    Agnieszka Ławrynowicz

  5. University of Sheffield, Sheffield, United Kingdom

    Fabio Ciravegna

  6. Linköping University, Linköping, Sweden

    Olaf Hartig

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Charpenay, V., Käbisch, S., Kosch, H. (2017). \(\mu \)RDF Store: Towards Extending the Semantic Web to Embedded Devices. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-70407-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70406-7

  • Online ISBN: 978-3-319-70407-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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