2021
González-Mora, César; Garrigós, Irene; Mazón, Jose-Norberto; Casteleyn, Sven; Firmenich, Sergio
Open Data Accessibility Based on Voice Commands Proceedings Article
In: Web Engineering. ICWE 2021, Springer, Cham, 2021, ISBN: 978-3-030-74296-6.
Abstract | Links | BibTeX | Tags: open data, web accessibility
@inproceedings{Gonzalez-Mora2021a,
title = {Open Data Accessibility Based on Voice Commands},
author = {César González-Mora and Irene Garrigós and Jose-Norberto Mazón and Sven Casteleyn and Sergio Firmenich},
doi = {https://doi.org/10.1007/978-3-030-74296-6_34},
isbn = {978-3-030-74296-6},
year = {2021},
date = {2021-05-31},
booktitle = {Web Engineering. ICWE 2021},
volume = {12706},
publisher = {Springer, Cham},
series = { Lecture Notes in Computer Science},
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.},
keywords = {open data, web accessibility},
pubstate = {published},
tppubtype = {inproceedings}
}
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.