Authors:
Bushra Kundi
1
;
Dhayananth Dharmalingam
2
;
Rediet Tadesse
2
;
Alexandra Creighton
1
;
Rachel Gorman
1
;
Pierre Maret
3
;
2
;
Fabrice Muhlenbach
2
;
Alexis Buettgen
1
;
Enakshi Dua
4
;
Thumeka Mgwigwi
5
;
Serban Dinca-Panaitescu
1
and
Christo El Morr
1
Affiliations:
1
School of Health Policy and Management, York University, Keele Street, Toronto, Canada
;
2
Université Jean Monnet Saint Etienne, France
;
3
The QA Company, Saint Etienne, France
;
4
School of Gender, Sexuality and Women's Studies, York University, Canada
;
5
Student Learning and Academic Success Department, York University Libraries, York University, Toronto, ON, Canada
Keyword(s):
Health Informatics, Machine Learning, Semantic Web, Natural Language Processing, Disability, Critical Disability, Wikibase, Disability Advocacy, Disability Rights.
Abstract:
The lack of readily available disability data is a major barrier for disability advocacy globally. The collection
and access to disability data is crucial to address social inequities, discrimination, and human rights violations
within the disability community. The Disability Wiki project intends to use AI techniques such as Machine
Learning and Semantic Web to extract and store existing disability-related data into one platform (Wikibase)
and to provide a multilingual natural language enabled search engine and a screen-reader-accessible for its
users.