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Querying Web Accessibility Knowledge from Web Graphs

Querying Web Accessibility Knowledge from Web Graphs

Rui Lopes, Luís Carriço
Copyright: © 2009 |Pages: 25
ISBN13: 9781605666501|ISBN10: 1605666505|EISBN13: 9781605666518
DOI: 10.4018/978-1-60566-650-1.ch005
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MLA

Lopes, Rui, and Luís Carriço. "Querying Web Accessibility Knowledge from Web Graphs." Handbook of Research on Social Dimensions of Semantic Technologies and Web Services, edited by Maria Manuela Cruz-Cunha, et al., IGI Global, 2009, pp. 88-112. https://doi.org/10.4018/978-1-60566-650-1.ch005

APA

Lopes, R. & Carriço, L. (2009). Querying Web Accessibility Knowledge from Web Graphs. In M. Cruz-Cunha, E. Oliveira, A. Tavares, & L. Ferreira (Eds.), Handbook of Research on Social Dimensions of Semantic Technologies and Web Services (pp. 88-112). IGI Global. https://doi.org/10.4018/978-1-60566-650-1.ch005

Chicago

Lopes, Rui, and Luís Carriço. "Querying Web Accessibility Knowledge from Web Graphs." In Handbook of Research on Social Dimensions of Semantic Technologies and Web Services, edited by Maria Manuela Cruz-Cunha, et al., 88-112. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-650-1.ch005

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Abstract

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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