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Extracting Emergent Semantics from Large-Scale User-Generated Content

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ICT Innovations 2011 (ICT Innovations 2011)

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 150))

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Abstract

This paper presents a survey of novel technologies for uncovering implicit knowledge through the analysis of user-contributed content in Web2.0 applications. The special features of emergent semantics are herein described, along with the various dimensions that the techniques should be able to handle. Consequently a series of application domains is given where the extracted information can be consumed. The relevant techniques are reviewed and categorised according to their capability for scaling, multi-modal analysis, social networks analysis, semantic representation, real-time and spatio-temporal processing. A showcase of such an emergent semantics extraction application, namely ClustTour, is also presented, and open issues and future challenges in this new field are discussed.

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Author information

Authors and Affiliations

  1. Informatics & Telematics Institute, 6th Km Charilaou-Thermi road, 57001, Thessaloniki, Greece

    Ioannis Kompatsiaris, Sotiris Diplaris & Symeon Papadopoulos

Authors
  1. Ioannis Kompatsiaris
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  2. Sotiris Diplaris
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  3. Symeon Papadopoulos
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Corresponding author

Correspondence to Ioannis Kompatsiaris .

Editor information

Editors and Affiliations

  1. Macedonian Academy of Sciences and Arts, Skopje, Macedonia

    Ljupco Kocarev

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Kompatsiaris, I., Diplaris, S., Papadopoulos, S. (2012). Extracting Emergent Semantics from Large-Scale User-Generated Content. In: Kocarev, L. (eds) ICT Innovations 2011. ICT Innovations 2011. Advances in Intelligent and Soft Computing, vol 150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28664-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-28664-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28663-6

  • Online ISBN: 978-3-642-28664-3

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