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Open Data Accessibility Based on Voice Commands

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Web Engineering (ICWE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12706))

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Abstract

Nowadays, the accessibility of open data on the Web is problematic, in particular for those data enthusiasts (non-technical users really interested in data) with visual disabilities. They generally experience accessibility barriers when browsing open data portals. Therefore, in order to improve accessibility and facilitate visually impaired users to obtain open data, we propose a Web Augmentation Framework for Accessibility for Open Data (WAFRA4OD). The proposed approach uses Web augmentation techniques and voice interaction to help users in finding relevant open data by offering them various useful comments, including a full fledged voice interaction interface. Thereby, WAFRA4OD enables visually impaired data enthusiasts to explore and interact with open data portals using voice commands, and thus improves the accessibility of open data. To show the feasibility of WAFRA4OD we demonstrate its use in a case study using the European Data Portal.

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Notes

  1. 1.

    https://www.w3.org/TR/vocab-dcat-2/.

  2. 2.

    https://www.europeandataportal.eu/en.

  3. 3.

    https://www.freedomscientific.com/products/software/jaws/.

  4. 4.

    https://www.texthelp.com/en-gb/products/browsealoud/.

  5. 5.

    https://www.w3.org/WAI/WCAG21/quickref/.

  6. 6.

    https://greasyfork.org/es/scripts/419908-wafra4od.

  7. 7.

    https://www.tampermonkey.net/.

  8. 8.

    https://wicg.github.io/speech-api/.

  9. 9.

    https://www.europeandataportal.eu/data/datasets/camden-street-lighting.

  10. 10.

    https://youtu.be/HvUw9o3IvDY.

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Acknowledgement

This research work has been partially funded by the National Foundation for Research, Technology and Development with the project TIN2016-78103-C2-2-R of the Spanish Ministry of Economy, Industry and Competitiveness; and by the DataTourism postCOVID-19 project funded by the “Consejo Social” of University of Alicante.

Author information

Authors and Affiliations

  1. Web And Knowledge Research Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain

    César González-Mora, Irene Garrigós & Jose-Norberto Mazón

  2. Geospatial Technologies Lab (GEOTEC), Institute of New Imaging Technologies (INIT), University Jaime I, Castellón de la Plana, Spain

    Sven Casteleyn

  3. LIFIA, Facultad de Informatica, UNLP and CONICET, La Plata, Argentina

    Sergio Firmenich

Authors
  1. César González-Mora
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  2. Irene Garrigós
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  3. Jose-Norberto Mazón
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  4. Sven Casteleyn
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  5. Sergio Firmenich
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Corresponding author

Correspondence to César González-Mora .

Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Milan, Italy

    Marco Brambilla

  2. E2S UPPA, LIUPPA, Université de Pau et des Pays de l’Adour, Anglet, France

    Richard Chbeir

  3. Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Flavius Frasincar

  4. Inria Saclay-Île-de-France, Institut Polytechnique de Paris, Palaiseau, France

    Ioana Manolescu

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González-Mora, C., Garrigós, I., Mazón, JN., Casteleyn, S., Firmenich, S. (2021). Open Data Accessibility Based on Voice Commands. In: Brambilla, M., Chbeir, R., Frasincar, F., Manolescu, I. (eds) Web Engineering. ICWE 2021. Lecture Notes in Computer Science(), vol 12706. Springer, Cham. https://doi.org/10.1007/978-3-030-74296-6_34

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  • DOI: https://doi.org/10.1007/978-3-030-74296-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-74295-9

  • Online ISBN: 978-3-030-74296-6

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