Linked data for accessibility: from techniques to users
Linked data for accessibility: from techniques to users
The advanced characteristics of Linked Data drive the dramatic growth of accessible public data. With very few accessibility research projects applying Linked Data , this paper reviews the challenges of accessibility and proposes the approach to use Linked Data to link the user preference and real-time environment data to address issues like user focus, data integration and isolated systems. Further research on Linked Data for accessibility would not only benefit people with disabilities but also contribute to the development of smart cities
978-972-8939-82-3
514-516
Ding, Chaohai
d07f64ec-a5c8-4167-9d34-9a3913e4dd1a
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
March 2013
Ding, Chaohai
d07f64ec-a5c8-4167-9d34-9a3913e4dd1a
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Ding, Chaohai, Wald, Mike and Wills, Gary
(2013)
Linked data for accessibility: from techniques to users.
The IADIS International Conference on e-Society 2013, Lisbon, Portugal.
13 - 16 Mar 2013.
.
Record type:
Conference or Workshop Item
(Poster)
Abstract
The advanced characteristics of Linked Data drive the dramatic growth of accessible public data. With very few accessibility research projects applying Linked Data , this paper reviews the challenges of accessibility and proposes the approach to use Linked Data to link the user preference and real-time environment data to address issues like user focus, data integration and isolated systems. Further research on Linked Data for accessibility would not only benefit people with disabilities but also contribute to the development of smart cities
Text
Linked Data for Accessibility.pdf
- Other
More information
Published date: March 2013
Venue - Dates:
The IADIS International Conference on e-Society 2013, Lisbon, Portugal, 2013-03-13 - 2013-03-16
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 350977
URI: http://eprints.soton.ac.uk/id/eprint/350977
ISBN: 978-972-8939-82-3
PURE UUID: 5dc190bf-2e12-4adc-968f-0e3d4400bbd3
Catalogue record
Date deposited: 12 Apr 2013 08:27
Last modified: 15 Mar 2024 02:51
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Contributors
Author:
Chaohai Ding
Author:
Mike Wald
Author:
Gary Wills
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