The University of Southampton
University of Southampton Institutional Repository

A survey of open accessibility data

A survey of open accessibility data
A survey of open accessibility data
This paper presents the research of using Linked Data for enhancing accessibility data, especially for accessible travelling. With the aim of addressing the gap between users’ special needs and accessibility data, this research initially explores the current situation of open accessibility data. Open accessibility data is the data related to the accessibility issues and associated with geographical data, which could benefit people with disabilities or special needs. This paper proposed a survey of open accessibility data in UK based on the datasets retrieved from five different resources. After examining the features of each dataset, a mapping approach using Semantic Web technologies is proposed to interlink these datasets together to generate a linked open accessibility repository and link this repository to other resources on the Linked Open Data Cloud (LODC). As a result, this research would not only benefit people with disabilities, but also contribute to a novel method to address accessibility information barriers by establishing a linked open accessibility data repository for publishing, integrating and consuming the accessibility data.
Ding, Chaohai
d07f64ec-a5c8-4167-9d34-9a3913e4dd1a
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
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 (2014) A survey of open accessibility data. The 11th Web for All Conference 2014, Korea, Republic of. 07 - 09 Apr 2014. 4 pp . (doi:10.1145/2596695.2596708).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents the research of using Linked Data for enhancing accessibility data, especially for accessible travelling. With the aim of addressing the gap between users’ special needs and accessibility data, this research initially explores the current situation of open accessibility data. Open accessibility data is the data related to the accessibility issues and associated with geographical data, which could benefit people with disabilities or special needs. This paper proposed a survey of open accessibility data in UK based on the datasets retrieved from five different resources. After examining the features of each dataset, a mapping approach using Semantic Web technologies is proposed to interlink these datasets together to generate a linked open accessibility repository and link this repository to other resources on the Linked Open Data Cloud (LODC). As a result, this research would not only benefit people with disabilities, but also contribute to a novel method to address accessibility information barriers by establishing a linked open accessibility data repository for publishing, integrating and consuming the accessibility data.

PDF
a29-ding.pdf - Other
Download (429kB)

More information

Published date: 7 April 2014
Venue - Dates: The 11th Web for All Conference 2014, Korea, Republic of, 2014-04-07 - 2014-04-09
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 364209
URI: https://eprints.soton.ac.uk/id/eprint/364209
PURE UUID: 752408fb-4391-4889-af7d-5f41287d083d
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 09 Apr 2014 13:13
Last modified: 06 Jun 2018 13:03

Export record

Altmetrics

Contributors

Author: Chaohai Ding
Author: Mike Wald
Author: Gary Wills ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×