Querying Web Accessibility Knowledge from Web Graphs

Querying Web Accessibility Knowledge from Web Graphs

Rui Lopes (LaSIGE, University of Lisbon, Portugal) and Luís Carriço (LaSIGE, University of Lisbon, Portugal)
Copyright: © 2010 |Pages: 25
DOI: 10.4018/978-1-60566-982-3.ch077
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Web Accessibility is a hot topic today. Striving for social inclusion has resulted in the requirement of providing accessible content to all users. However, since each user is unique, and the Web evolves in a decentralized way, little or none is known about the shape of the Web’s accessibility on its own at a large scale, as well as from the point-of-view of each user. In this chapter the authors present the Web Accessibility Knowledge Framework as the foundation for specifying the relevant information about the accessibility of a Web page. This framework leverages Semantic Web technologies, side by side with audience modeling and accessibility metrics, as a way to study the Web as an entity with unique accessibility properties dependent from each user’s point of view. Through this framework, the authors envision a set of queries that can help harnessing and inferring this kind of knowledge from Web graphs.

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