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International Rapid Mashup Challenge

RMC 2016: Rapid Mashup Development Tools pp 74–93Cite as

End-User Development for the Internet of Things: EFESTO and the 5W Composition Paradigm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 696))

Abstract

This paper illustrates a composition paradigm and a related tool to express rules for smart object composition. The composition paradigm is characterized by operators for coupling multiple events and conditions exposed by smart objects, and for defining temporal and spatial constraints on rule activation. The design of the composition paradigm is based on the results of an elicitation study that involved 25 participants.

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Notes

  1. 1.

    http://www.rfidjournal.com/articles/view?4986.

  2. 2.

    https://m2x.att.com.

  3. 3.

    https://www.microsoft.com/en/server-cloud/internet-of-things/azure-iot-suite.aspx.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Via Orabona, 4, 70125, Bari, Italy

    Giuseppe Desolda & Carmelo Ardito

  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20134, Milan, Italy

    Maristella Matera

Authors
  1. Giuseppe Desolda
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  2. Carmelo Ardito
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  3. Maristella Matera
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Corresponding author

Correspondence to Giuseppe Desolda .

Editor information

Editors and Affiliations

  1. Politecnico di Milano , Milano, Italy

    Florian Daniel

  2. TU Chemnitz , Chemnitz, Germany

    Martin Gaedke

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Desolda, G., Ardito, C., Matera, M. (2017). End-User Development for the Internet of Things: EFESTO and the 5W Composition Paradigm. In: Daniel, F., Gaedke, M. (eds) Rapid Mashup Development Tools. RMC 2016. Communications in Computer and Information Science, vol 696. Springer, Cham. https://doi.org/10.1007/978-3-319-53174-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-53174-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53173-1

  • Online ISBN: 978-3-319-53174-8

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