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Electronic Notes in Theoretical Computer Science
Volume 157, Issue 2, 22 May 2006, Pages 3-9
Proceedings of the International Workshop on Automated Specification and Verification of Web Sites (WWV 2005)
 
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doi:10.1016/j.entcs.2005.12.040    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

A Data Model to Facilitate the Automation of Web Accessibility Evaluations

Shadi Abou-ZahraE-mail The Corresponding Author

Web Accessibility Initiative, World Wide Web Consortium, Sophia-Antipolis, France

Available online 12 May 2006.

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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


Electronic Notes in Theoretical Computer Science
Volume 157, Issue 2, 22 May 2006, Pages 3-9
Proceedings of the International Workshop on Automated Specification and Verification of Web Sites (WWV 2005)
 
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