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Mining Social Links for Ubiquitous Knowledge Engineering

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Socio-technical Design of Ubiquitous Computing Systems

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Abstract

Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data.

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Notes

  1. 1.

    http://www.sociopatterns.org

  2. 2.

    http://www.bitmanufaktur.de

  3. 3.

    http://www.openbeacon.org/

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Author information

Authors and Affiliations

  1. Knowledge and Data Engineering, Kassel University, Pfannkuchstr. 1, 34121, Kassel, Germany

    Christoph Scholz, Bjoern-Elmar Macek, Martin Atzmueller, Stephan Doerfel & Gerd Stumme

Authors
  1. Christoph Scholz
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  2. Bjoern-Elmar Macek
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  3. Martin Atzmueller
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  4. Stephan Doerfel
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  5. Gerd Stumme
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Corresponding author

Correspondence to Christoph Scholz .

Editor information

Editors and Affiliations

  1. University of Kassel, Kassel, Germany

    Klaus David

  2. University of Kassel, Kassel, Germany

    Kurt Geihs

  3. University of Kassel, Kassel, Germany

    Jan Marco Leimeister

  4. University of Kassel, Kassel, Germany

    Alexander Roßnagel

  5. University of Kassel, Kassel, Germany

    Ludger Schmidt

  6. University of Kassel, Kassel, Germany

    Gerd Stumme

  7. University of Kassel, Kassel, Germany

    Arno Wacker

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Scholz, C., Macek, BE., Atzmueller, M., Doerfel, S., Stumme, G. (2014). Mining Social Links for Ubiquitous Knowledge Engineering. In: David, K., et al. Socio-technical Design of Ubiquitous Computing Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-05044-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-05044-7_7

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