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

  • Tatiana Sorrentino
  • Alexandre Santos
  • Joaquim Macedo
  • Cláudia Ribeiro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Web accessibility standards Semantic web Ontology Dynamic adaptation 

References

  1. 1.
    Yesilada, Y., Stevens, R., Harper, S., Goble, C.: Evaluating DANTE. ACM Trans. Comput.-Hum. Interact. 14(3), 14 (2007)CrossRefGoogle Scholar
  2. 2.
    Harper, S., Yesilada, Y.: Web authoring for accessibility (WAfA). Web Semantics: Sci. Serv. Agents World Wide Web 5(3), 175–179 (2007)CrossRefGoogle Scholar
  3. 3.
    Malizia, A., Onorati, T., Diaz, P., Aedo, I., Astorga-Paliza, F.: SEMA4A: an ontology for emergency notification systems accessibility. Expert Syst. Appl. 37(4), 3380–3391 (2010)CrossRefGoogle Scholar
  4. 4.
    Bechhofer, S., Harper, S., Lunn, D.: SADIe: semantic annotation for accessibility. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 101–115. Springer, Heidelberg (2006). doi:10.1007/11926078_8 CrossRefGoogle Scholar
  5. 5.
    Skillen, K.L., Chen, L., Nugent, C.D., Donnelly, M.P., Burns, W., Solheim, I.: Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments. Future Gener. Comput. Syst. 34, 97–109 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Tatiana Sorrentino
    • 1
    • 2
  • Alexandre Santos
    • 2
  • Joaquim Macedo
    • 2
  • Cláudia Ribeiro
    • 1
  1. 1.IFRNMossoróBrazil
  2. 2.Centro AlgoritmiUniversidade Do MinhoBragaPortugal

Personalised recommendations