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RailGB: using open accessibility data to help people with disabilities

Record type: Conference or Workshop Item (Paper)

With the fast growth of Linked Data, many datasets have been made available for public access. However, with an increased number of elderly and people with disabilities becoming technologically knowledgeable, it has been noted that few applications have been developed for this population group using Linked Data. In this paper, we present RailGB, a linked-data driven mobile web application to provide dynamic searches for accessible underground stations in London. RailGB may also prove useful for users such as those with heavy loads or baby buggies. Data in RailGB is collected from different datasets and are mashed-up within a user-friendly mobile web interface. A Query Agent is developed to automatically build SPARQL queries linked to different user require- ments. Data around access requirements tends to be detailed on a wide range of static web sites and rarely offers options when visiting partic- ular places. RailGB offers a fundamental shift in approach by reacting to the users’ needs whilst travelling with choices of access to a range of stations around the particular area to be visited using Linked Data. Further research is required to provide a wider range of information as more high quality open data becomes available

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Citation

Li, Yunjia, Draffan, E.A., Glaser, Hugh, Millard, Ian, Newman, Russell, Wald, Mike, Wills, Gary and White, Magnus (2012) RailGB: using open accessibility data to help people with disabilities At International Semantic Web Conference 2012, United States. 11 - 15 Nov 2012.

More information

Published date: November 2012
Venue - Dates: International Semantic Web Conference 2012, United States, 2012-11-11 - 2012-11-15
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 345829
URI: http://eprints.soton.ac.uk/id/eprint/345829
PURE UUID: 54935f49-856a-4ab9-8913-9274d60e1dae
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 05 Dec 2012 14:34
Last modified: 18 Jul 2017 05:07

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Contributors

Author: Yunjia Li
Author: E.A. Draffan
Author: Hugh Glaser
Author: Ian Millard
Author: Russell Newman
Author: Mike Wald
Author: Gary Wills ORCID iD
Author: Magnus White

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