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

^*Corresponding author for this work

School of Fundamental Science and Engineering

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	Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering
Publisher	IOS Press
Pages	138-143
Number of pages	6
ISBN (Print)	9781614990932
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)	0922-6389

Keywords

Accessibility
Link classification
Web page link

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

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

Cite this

Iwata, H., Kobayashi, N., Tachibana, K., Shirogane, J., & Fukazawa, Y. (2012). Evaluation of end user accessibility support using link content analysis. In Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering (pp. 138-143). (Frontiers in Artificial Intelligence and Applications; Vol. 240). IOS Press. 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 et al.

Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering. IOS Press, 2012. p. 138-143 (Frontiers in Artificial Intelligence and Applications; Vol. 240).

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

Iwata, H, Kobayashi, N, Tachibana, K, Shirogane, J & Fukazawa, Y 2012, Evaluation of end user accessibility support using link content analysis. in Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering. Frontiers in Artificial Intelligence and Applications, vol. 240, IOS Press, pp. 138-143. https://doi.org/10.3233/978-1-61499-094-9-138

Iwata H, Kobayashi N, Tachibana K, Shirogane J, Fukazawa Y. Evaluation of end user accessibility support using link content analysis. In Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering. IOS Press. 2012. p. 138-143. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-094-9-138

@inproceedings{deb429bffeaa4a91be8c7eed33b95a9f,

title = "Evaluation of end user accessibility support using link content analysis",

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.",

keywords = "Accessibility, Link classification, Web page link",

author = "Hajime Iwata and Naofumi Kobayashi and Kenji Tachibana and Junko Shirogane and Yoshiaki Fukazawa",

year = "2012",

doi = "10.3233/978-1-61499-094-9-138",

language = "English",

isbn = "9781614990932",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "138--143",

booktitle = "Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering",

}

TY - GEN

T1 - Evaluation of end user accessibility support using link content analysis

AU - Iwata, Hajime

AU - Kobayashi, Naofumi

AU - Tachibana, Kenji

AU - Shirogane, Junko

AU - Fukazawa, Yoshiaki

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Accessibility

KW - Link classification

KW - Web page link

UR - http://www.scopus.com/inward/record.url?scp=84879103801&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879103801&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-094-9-138

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

M3 - Conference contribution

AN - SCOPUS:84879103801

SN - 9781614990932

T3 - Frontiers in Artificial Intelligence and Applications

SP - 138

EP - 143

BT - Knowledge-Based Software Engineering - Proceedings of the Tenth Conference on Knowledge-Based Software Engineering

PB - IOS Press

ER -

Evaluation of end user accessibility support using link content analysis

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this