Copyright © 2006 Elsevier B.V. All rights reserved.
A Data Model to Facilitate the Automation of Web Accessibility Evaluations
Available online 12 May 2006.
References and further reading may be available for this article. To view references and further reading you must purchase this article.
Abstract
Describing test results in a standardized format facilitates the exchange of information between different types of tools that are used to evaluate Web sites for accessibility. The Evaluation and Report Language (EARL) is a machine-readable, platform-independent, and vendor-neutral format that builds on Semantic Web technologies to provide a powerful data model for expressing test results. While the primary motivation for developing this language is to facilitate the automation of Web accessibility evaluations, it is has been designed so that it can serve generic Web quality assurance purposes as well as other use cases outside the scope of Web site evaluation.
Keywords: Accessibility; Automated Evaluation; Conformance Testing; Quality Assurance; Validation







E-mail Article
Add to my Quick Links

Cited By in Scopus (3)





