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Exploiting Multimedia in Creating and Analysing Multimedia Web Archives

Author

Listed:
  • Jonathon S. Hare

    (Web and Internet Science Research Group, University of Southampton, Highfield, Southampton SO17 1PR, UK)

  • David P. Dupplaw

    (Web and Internet Science Research Group, University of Southampton, Highfield, Southampton SO17 1PR, UK)

  • Paul H. Lewis

    (Web and Internet Science Research Group, University of Southampton, Highfield, Southampton SO17 1PR, UK)

  • Wendy Hall

    (Web and Internet Science Research Group, University of Southampton, Highfield, Southampton SO17 1PR, UK)

  • Kirk Martinez

    (Web and Internet Science Research Group, University of Southampton, Highfield, Southampton SO17 1PR, UK)

Abstract

The data contained on the web and the social web are inherently multimedia and consist of a mixture of textual, visual and audio modalities. Community memories embodied on the web and social web contain a rich mixture of data from these modalities. In many ways, the web is the greatest resource ever created by human-kind. However, due to the dynamic and distributed nature of the web, its content changes, appears and disappears on a daily basis. Web archiving provides a way of capturing snapshots of (parts of) the web for preservation and future analysis. This paper provides an overview of techniques we have developed within the context of the EU funded ARCOMEM (ARchiving COmmunity MEMories) project to allow multimedia web content to be leveraged during the archival process and for post-archival analysis. Through a set of use cases, we explore several practical applications of multimedia analytics within the realm of web archiving, web archive analysis and multimedia data on the web in general.

Suggested Citation

  • Jonathon S. Hare & David P. Dupplaw & Paul H. Lewis & Wendy Hall & Kirk Martinez, 2014. "Exploiting Multimedia in Creating and Analysing Multimedia Web Archives," Future Internet, MDPI, vol. 6(2), pages 1-19, April.
    • Handle: RePEc:gam:jftint:v:6:y:2014:i:2:p:242-260:d:35455
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    References listed on IDEAS

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    1. Stefanie Schmidt & Wolfgang G. Stock, 2009. "Collective indexing of emotions in images. A study in emotional information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 863-876, May.
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      multimedia; archiving; analysis;
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