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Towards Making University PDFs Conform to Universal Accessibility Standard

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Computational Collective Intelligence (ICCCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13501))

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Abstract

This paper reports on the findings of the research aiming at changing public document authoring process to support publishing only accessible documents. The main contribution is finding the most commonly invalidated rule checks of legally enforced standard PDF/UA in PDF files from university websites and analysis of the authoring errors that rendered the public documents inaccessible for people with disabilities, usually visual impairments. For most popular failed check rules author proposes recommendations how to avoid non-accessibility in the future. Based on the popularity of invalidated PDF/UA rules, proposed recommendations and their mutual relations a significance method for scoring and thus ranking the rules is proposed. Conclusions are drawn and some ideas for future works are outlined.

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Author information

Authors and Affiliations

  1. Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, wybrzeze Wyspiańskiego 27, 50-370, Wroclaw, Poland

    Marek Kopel

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  1. Marek Kopel
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Correspondence to Marek Kopel .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  3. University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kopel, M. (2022). Towards Making University PDFs Conform to Universal Accessibility Standard. In: Nguyen, N.T., Manolopoulos, Y., Chbeir, R., Kozierkiewicz, A., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2022. Lecture Notes in Computer Science(), vol 13501. Springer, Cham. https://doi.org/10.1007/978-3-031-16014-1_57

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  • DOI: https://doi.org/10.1007/978-3-031-16014-1_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16013-4

  • Online ISBN: 978-3-031-16014-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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