1. Open Accessibility Data
CHAOHAI DING
cd8e10@ecs.soton.ac.uk
Web and Internet Science Group, ECS
University of Southampton, UK
Mash up transport data for accessible travelling
2. Accessible Travelling
Travelling is listed as one of top difficulties for people
with limitations, impairments or disabilities.
• Pre-trip (route planning, location data and cost etc.)
• On-trip (personal assistance, real time data and
accessibility data of surrounding etc.)
• After-trip (Evaluation, voting and complains etc.)
http://www.wlv.ac.uk/files/images/knowledge4/mind-the-gap.jpg
3. Accessible Transport Data
• Open Transport Data (stations, public transport data
and real time traffic data)
• Other Real Time Data (weather, events or roadwork)
• Open Accessibility Data:
– Open data that can improve the accessibility
– Data related to accessibility information (toilet, lifts, ramp,
wheelchair space in bus or trains etc.)
– Data can help people with special needs
http://innovations.tamuc.edu/wp-content/uploads/2011/10/Accessibility.jpg
4. Challenges
Challenges for Open Accessibility Data:
• Data Availability
• Openness
• Data Format
• Data Quality
• Data Monitoring
• Linking
http://modilatrust.co.za/sites/default/files/imagecache/Gallery/gallery/simon%2
0gray%202005_Accessibility_0.jpg
5. Solutions
Proposed Solutions:
• Accessibility data schema standardization
• Open the accessibility data
• Data extraction and conversion (existing data)
• Crowdsourcing the accessibility data
• Linked Data
• Monitoring framework and evaluation
applications
6. What We Have Done?
• RailGB http://m.railgb.org.uk/
– A demo application of open accessibility data
(London tube and railway)
• SymbolNet http://symbolnet.synote.org/
– Crowdsourcing the open accessibility data
• OpenAccessibility (Next Step)
– Data hub for publishing the open accessibility
data
– Publishing the API for public access
7. Future Work
Linked Open Accessibility Data Framework
• Crowdsourcing accessible transport data
• Data Integration Model
– Open Accessibility Data Ontology
– Linked Data (Linking to other resources)
• Data Monitoring and Evaluation Model
• Applications (Decision Support Systems or
Recommendation Systems)
