Extracting content from accessible web pages

  • Authors:

  • Suhit Gupta;Gail Kaiser

  • Affiliations:

  • New York, NY;New York, NY

  • Venue:
  • W4A '05 Proceedings of the 2005 International Cross-Disciplinary Workshop on Web Accessibility (W4A)
  • Year:
  • 2005

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Abstract

Web pages often contain clutter (such as ads, unnecessary animations and extraneous links) around the body of an article, which distracts a user from actual content. This can be especially inconvenient for blind and visually impaired users. The W3C's Web Accessibility Initiative (WAI) has defined a set of guidelines to make web pages more compatible with tools built specifically for persons with disabilities. While this initiative has put forth an excellent set of principles, unfortunately many websites continue to be inaccessible as well as cluttered. In order to address the clutter problem, we have developed a framework that employs a host of heuristics in the form of tunable filters for the purpose of content extraction. Our hypothesis is that automatically filtering out selected elements from websites will leave the base content that users are interested in and, as a side-effect, render them more accessible. Although our heuristics are intuition-based, rather than derived from the W3C accessibility guidelines, we imagined however that they would have little impact on web pages that are fully compliant with the accessibility guidelines. We were wrong: some (technically) accessible web pages still include significant clutter. This paper discusses our content extraction framework and its application to accessible web pages.