Evaluation of end user accessibility support using link content analysis

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

*Corresponding author for this work

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


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 publicationKnowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering
PublisherIOS Press
Number of pages6
ISBN (Print)9781614990932
Publication statusPublished - 2012

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • Accessibility
  • Link classification
  • Web page link

ASJC Scopus subject areas

  • Artificial Intelligence


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