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From Semantic Web Mining to Social and Ubiquitous Mining

A Subjective View on Past, Current, and Future Research

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Foundations for the Web of Information and Services

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Abstract

Web mining is the application of data mining techniques to the Web. In the past eight years, we have been following this line of research within two growing subareas of the Web: the Semantic Web and the Social Web. In this paper, we recall our key observations, and discuss the next upcoming trend—the application of data mining to the Ubiquitous Web.

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Notes

  1. 1.

    http://www.vanderwal.net/folksonomy.html.

  2. 2.

    http://www.flickr.com/.

  3. 3.

    http://delicious.com.

  4. 4.

    http://www.citeulike.org.

  5. 5.

    http://www.connotea.org.

  6. 6.

    http://www.43things.com.

  7. 7.

    http://www.bibsonomy.org.

  8. 8.

    http://www.kde.cs.uni-kassel.de/ws/dc09/.

  9. 9.

    http://www.kde.cs.uni-kassel.de/ws/eswc2007/.

  10. 10.

    http://www.sociopatterns.org/.

  11. 11.

    http://www.kde.cs.uni-kassel.de/conf/lwa10.

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Author information

Authors and Affiliations

  1. Knowledge & Data Engineering Group, University of Kassel, 34121, Kassel, Germany

    Gerd Stumme

  2. L3S Research Center, Hannover, Germany

    Gerd Stumme

  3. Data Mining and Information Retrieval Group, University of Würzburg, 97074, Würzburg, Germany

    Andreas Hotho

Authors
  1. Andreas Hotho
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  2. Gerd Stumme
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Corresponding author

Correspondence to Andreas Hotho .

Editor information

Editors and Affiliations

  1. STI Innsbruck, ICT - Technologiepark, University of Innsbruck, Technikerstr. 21a, Innsbruck, 6020, Austria

    Dieter Fensel

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Hotho, A., Stumme, G. (2011). From Semantic Web Mining to Social and Ubiquitous Mining. In: Fensel, D. (eds) Foundations for the Web of Information and Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19797-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-19797-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19796-3

  • Online ISBN: 978-3-642-19797-0

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