Evaluation of end user accessibility support using link content analysis

Hajime Iwata, Naofumi Kobayashi, Kenji Tachibana, Junko Shirogane, Yoshiaki Fukazawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Web pages are used for various purposes. End users must sequentially follow page links to find necessary content, requiring significant time and effort. Our method supports the location of content by analyzing link types. This facilitates end users' access to necessary information on web pages.

    Original languageEnglish
    Title of host publicationFrontiers in Artificial Intelligence and Applications
    Pages138-143
    Number of pages6
    Volume240
    DOIs
    Publication statusPublished - 2012

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    Volume240
    ISSN (Print)09226389

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    Keywords

    • Accessibility
    • Link classification
    • Web page link

    ASJC Scopus subject areas

    • Artificial Intelligence

    Cite this

    Iwata, H., Kobayashi, N., Tachibana, K., Shirogane, J., & Fukazawa, Y. (2012). Evaluation of end user accessibility support using link content analysis. In Frontiers in Artificial Intelligence and Applications (Vol. 240, pp. 138-143). (Frontiers in Artificial Intelligence and Applications; Vol. 240). https://doi.org/10.3233/978-1-61499-094-9-138