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An Adaptive Semantic Model to Enhance Web Accessibility to Visually Impaired Users (Short Paper)

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Book cover On the Move to Meaningful Internet Systems: OTM 2016 Conferences (OTM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10033))

Abstract

Web has becoming an invaluable source of knowledge. However, visually impaired users have faced critical difficulties to access the services and data available on Web. To tackle this problem, this paper proposes a semantic model to improve accessibility to websites for users with visual disability. The model is made by components to identify and prioritize relevant information on web pages, converting pages elements into more understandable ones, by a strategy of semantically enrichment that results in an adapted page that meets the user’s needs. The model is under development and has been partially implemented and validated in two different scenarios, one dealing with a site that portrays the Brazilian semiarid region and the other one regarding an adaptation of a social network page, replacing an image with an equivalent audio description. The experiment has shown the feasibility of semantic web technologies to improve accessibility.

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Acknowledgements

This work has been partially supported by FCT - Fundação para a Ciência e Tecnologia, Portugal, in the scope of the project: UID/CEC/00319/2013.

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Authors and Affiliations

  1. IFRN, Mossoró, Rio Grande do Norte, Brazil

    Tatiana Sorrentino & Cláudia Ribeiro

  2. Centro Algoritmi, Universidade Do Minho, 4710-057, Braga, Portugal

    Tatiana Sorrentino, Alexandre Santos & Joaquim Macedo

Authors
  1. Tatiana Sorrentino
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  2. Alexandre Santos
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  3. Joaquim Macedo
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  4. Cláudia Ribeiro
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Corresponding author

Correspondence to Tatiana Sorrentino .

Editor information

Editors and Affiliations

  1. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. Institute of Computer Languages, TU Wien, Vienna, Austria

    eva Kühn

  6. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Declan O'Sullivan

  7. Università degli Studi di Milano Crema, Crema, Italy

    Claudio Agostino Ardagna

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© 2016 Springer International Publishing AG

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Sorrentino, T., Santos, A., Macedo, J., Ribeiro, C. (2016). An Adaptive Semantic Model to Enhance Web Accessibility to Visually Impaired Users (Short Paper). In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_41

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  • DOI: https://doi.org/10.1007/978-3-319-48472-3_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48471-6

  • Online ISBN: 978-3-319-48472-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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