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Semantic Content Analysis Supporting Web Accessibility Evaluation

Published: 23 April 2018 Publication History

Abstract

Despite its many advantages, automated web accessibility evaluation's main limitation is still its inability to assess rules and techniques that require a semantic understanding of the web content. Today, machine learning solutions are available that can interpret different media content with a reasonable degree of confidence. These solutions have an untapped potential to increase the accessibility of web pages. This potential extends to the evaluation of web pages also. This paper proposes an algorithm to automatically rate the similarity between a content and its textual description in a web accessibility evaluation context. The validity of the algorithm is demonstrated by comparing its ratings of descriptions of images obtained from their alt texts with human ratings of the same descriptions.

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Cited By

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  • (2024)An inclusive framework for automated web content accessibility evaluationUniversal Access in the Information Society10.1007/s10209-024-01164-5Online publication date: 25-Oct-2024
  • (2023)Accessibility engineering in web evaluation process: a systematic literature reviewUniversal Access in the Information Society10.1007/s10209-023-00967-223:2(653-686)Online publication date: 27-Jan-2023
  • (2022)An Initial Exploration of Tweets Associated With Web AccessibilityInternational Journal of Art, Culture, Design, and Technology10.4018/IJACDT.31284811:1(1-22)Online publication date: 25-Oct-2022
  • Show More Cited By

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  1. Semantic Content Analysis Supporting Web Accessibility Evaluation

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    cover image ACM Other conferences
    W4A '18: Proceedings of the 15th International Web for All Conference
    April 2018
    223 pages
    ISBN:9781450356510
    DOI:10.1145/3192714
    This work is licensed under a Creative Commons Attribution-NoDerivs International 4.0 License.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 April 2018

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    Author Tags

    1. Automatic accessibility evaluation
    2. algorithm
    3. content comparison
    4. semantic analysis
    5. user study

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    • Short-paper
    • Research
    • Refereed limited

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    W4A '18
    W4A '18: The Internet of Accessible Things
    April 23 - 25, 2018
    Lyon, France

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    W4A '18 Paper Acceptance Rate 25 of 43 submissions, 58%;
    Overall Acceptance Rate 171 of 371 submissions, 46%

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    Cited By

    View all
    • (2024)An inclusive framework for automated web content accessibility evaluationUniversal Access in the Information Society10.1007/s10209-024-01164-5Online publication date: 25-Oct-2024
    • (2023)Accessibility engineering in web evaluation process: a systematic literature reviewUniversal Access in the Information Society10.1007/s10209-023-00967-223:2(653-686)Online publication date: 27-Jan-2023
    • (2022)An Initial Exploration of Tweets Associated With Web AccessibilityInternational Journal of Art, Culture, Design, and Technology10.4018/IJACDT.31284811:1(1-22)Online publication date: 25-Oct-2022
    • (2020)Web Accessibility Assessment Through Multi-Agent Support for Visually Impaired UsersInternational Journal of Cooperative Information Systems10.1142/S021884302050005729:03(2050005)Online publication date: 4-Sep-2020
    • (2019)Combining Semantic Tools for Automatic Evaluation of Alternative TextsProceedings of the 16th International Web for All Conference10.1145/3315002.3317558(1-4)Online publication date: 13-May-2019

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