No abstract

The Italian regulations about Web content accessibility impose HTML 4.01 strict, XHTML 1.0 strict or superior grammar validity. Such markup constraints are complied by a low percentage of Public Institution sites. In order to include the largest amount of not strict DTD sites on a synthetic, realistic representation of accessibility degree, this paper presents an experimental approach to set up parameters for making validity measures uniform, despite they are taken from evaluating different grammars. The proposed method allows for effectiveness in computing and storing information which otherwise will be quite unfeasible. Finally, the generalization of such an approach is shown to be suited for markup quality evaluations, beyond explicit law requirements.

Web accessibility evaluations are typically done by means of automatic tools and by humans' assessments. Metrics about accessibility are devoted to quantify accessibility level or accessibility barriers, providing numerical synthesis from such evaluations. It is worth noting that, while automatic tools usually return binary values (meant as the presence or the absence of an error), human assessment in manual evaluations are subjective and can get values from a continuous range.In this paper we present a model which takes into account multiple manual evaluations and provides final single values. In particular, an extension of our previous metric BIF, called cBIF, has been designed and implemented to evaluate consistence and effectiveness of such a model. Suitable tools and the collaboration of a group of evaluators is supporting us to provide first results on our metric and is drawing interesting clues for future researches.

Accessibility evaluation and monitoring actions are distributed activities based on the analysis and verification of a huge amount of data. In this paper we present an application prototype, which produces accessible and personalized outputs (by means of graphics and tables) in a feasible way, on the basis of Web pages accessibility validations, thereby making data more understandable and accessible to distributed Web authoring/editorial staffs.