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Accessibility and WCAG Compliance in Higher Education

Authors: Kobyliński, Łukasz;

Accessibility and WCAG Compliance in Higher Education

Abstract

12 slides.-- Presentation provides background for demos by Michał Olczyk on "Manual annotation of PDF documents: why is it important and how difficult it is" and by Antoni Marek on "WCAG AI: making PDF documents accessible using Artificial Intelligence".-- Link to session recording available at https://eurocris.org/news Event webpage available at https://live.sages.pl/eurocris-webinar The presentation addresses the issue of web accessibility and WCAG compliance both for web pages and for documents. It is argued that the process to ensure accessibility of web pages or systems is simpler as a rule than the same objective for documents with a wide range of formats, creators and provenances. The Polish Platform of Medical Research (PPM) is shown as an example repository. A demo is provided for the largely automated AI-mediated routine to comply with the WCAG based on the "WCAG AI: Artificial Intelligence in the task of making documents accessible" research project co-financed by the European Union from the European Regional Development Fund under the Intelligent Development Operational Programme.

Country
Netherlands
Related Organizations
Keywords

WCAG, web accesibility, institutional repositories, artificial intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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