Context-aware web content adaptation for mobile user agents

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    5 Citations (Scopus)

    Abstract

    There is a growing need for mobile users to access Web content. In this chapter, adaptation approaches and techniques are described that lets mobile users access Web content that’s not directly targeted to user agents of mobile devices. Content adaptation can be based on the information of delivery context, which can include static or dynamic information including device capabilities, network characteristics, user preferences, and other application-specific parameters. Content selection may allow selection between versions of the material. Web content can be adapted as is or on the basis of author-provided or any additional metadata related to the input. Content authors may choose among several authoring methods related to adaptation. This chapter also outlines typical use cases of Web content adaptation
    Original languageEnglish
    Title of host publicationEvolution of the Web in Artificial Intelligence Environments
    EditorsRichi Nayak, N. Ichalkaranje
    PublisherSpringer
    Chapter4
    Pages69-99
    ISBN (Electronic)978-3-540-79140-9
    ISBN (Print)978-3-540-79139-3, 978-3-642-09802-4
    Publication statusPublished - 2008
    MoE publication typeA3 Part of a book or another research book

    Publication series

    SeriesStudies in Computational Intelligence
    Volume130
    ISSN1860-949X

    Fingerprint

    Metadata
    Mobile devices

    Cite this

    Laakko, T. (2008). Context-aware web content adaptation for mobile user agents. In R. Nayak, & N. Ichalkaranje (Eds.), Evolution of the Web in Artificial Intelligence Environments (pp. 69-99). Springer. Studies in Computational Intelligence, Vol.. 130
    Laakko, Timo. / Context-aware web content adaptation for mobile user agents. Evolution of the Web in Artificial Intelligence Environments. editor / Richi Nayak ; N. Ichalkaranje. Springer, 2008. pp. 69-99 (Studies in Computational Intelligence, Vol. 130).
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    abstract = "There is a growing need for mobile users to access Web content. In this chapter, adaptation approaches and techniques are described that lets mobile users access Web content that’s not directly targeted to user agents of mobile devices. Content adaptation can be based on the information of delivery context, which can include static or dynamic information including device capabilities, network characteristics, user preferences, and other application-specific parameters. Content selection may allow selection between versions of the material. Web content can be adapted as is or on the basis of author-provided or any additional metadata related to the input. Content authors may choose among several authoring methods related to adaptation. This chapter also outlines typical use cases of Web content adaptation",
    author = "Timo Laakko",
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    Laakko, T 2008, Context-aware web content adaptation for mobile user agents. in R Nayak & N Ichalkaranje (eds), Evolution of the Web in Artificial Intelligence Environments. Springer, Studies in Computational Intelligence, vol. 130, pp. 69-99.

    Context-aware web content adaptation for mobile user agents. / Laakko, Timo.

    Evolution of the Web in Artificial Intelligence Environments. ed. / Richi Nayak; N. Ichalkaranje. Springer, 2008. p. 69-99 (Studies in Computational Intelligence, Vol. 130).

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

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    AB - There is a growing need for mobile users to access Web content. In this chapter, adaptation approaches and techniques are described that lets mobile users access Web content that’s not directly targeted to user agents of mobile devices. Content adaptation can be based on the information of delivery context, which can include static or dynamic information including device capabilities, network characteristics, user preferences, and other application-specific parameters. Content selection may allow selection between versions of the material. Web content can be adapted as is or on the basis of author-provided or any additional metadata related to the input. Content authors may choose among several authoring methods related to adaptation. This chapter also outlines typical use cases of Web content adaptation

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    Laakko T. Context-aware web content adaptation for mobile user agents. In Nayak R, Ichalkaranje N, editors, Evolution of the Web in Artificial Intelligence Environments. Springer. 2008. p. 69-99. (Studies in Computational Intelligence, Vol. 130).