Evaluation of end user accessibility support using link content analysis

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

doi:10.3233/978-1-61499-094-9-138

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 proceeding › Conference 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 language	English
Title of host publication	Frontiers in Artificial Intelligence and Applications
Pages	138-143
Number of pages	6
Volume	240
DOIs	https://doi.org/10.3233/978-1-61499-094-9-138
Publication status	Published - 2012

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	240
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

Evaluation of end user accessibility support using link content analysis. / Iwata, Hajime; Kobayashi, Naofumi; Tachibana, Kenji; Shirogane, Junko; Fukazawa, Yoshiaki.

Frontiers in Artificial Intelligence and Applications. Vol. 240 2012. p. 138-143 (Frontiers in Artificial Intelligence and Applications; Vol. 240).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Access to Document

10.3233/978-1-61499-094-9-138