Reinforcing Web Accessibility for Enhanced Browsers and Functionalities According to W3C Guidelines
In today’s democratic society, the notion that all citizens have equal opportunity to express their views and opinions and right to information irrespective of any disability are elementary principles. The Web is becoming the centerpiece of this new information age. However, web sites are prone to accessibility issues and in some way or the other are inaccessible to people with disabilities. This paper provides a useful touchstone for those developers who have been standing at the shores of designing accessible web sites and even for those who have taken a deep dive in web designing in making Web accessible to all. This paper presents development of a validating and analysis tool to rate a web site on accessibility checkpoints by W3C (WCAG 2.0). Efforts are made in attaining web accessibility using web scrapping as a technology. Paper also contains tightly bound relations between various HTML attributes and tags using Bayesian Network.
KeywordsWeb accessibility Human information processing Disabled people Human computer interaction and usability Web scrapping Context providing Natural language processing HTML Bayesian network
The author would like to thank college, department, HOD Prof. Shraddha Phansalkar, guide Prof. Manisha Tijare, and Project manager Dr. Preeti Mulay for providing an opportunity to work in this direction as a contribution towards both technology and society.
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