This paper aims to propose and experiment a framework for checking and correcting websites for accessibility. Existing tools usually check the WCAG-conformance of HTML client pages (that contain the static elements to be displayed through a browser to end users at a moment). Consequently, web developers have to do tedious works of identifying which parts of server source pages (i.e. server-side source codes that generate HTML client pages) cause non-conformant client elements. Unlike these tools, our framework allows directly reporting and suggesting solutions for the elements in the server source pages. The proposed method composes of four steps. First, the HTML client page and the server source page are parsed. Second, the elements of HTML client page that are non-conformant with the WCAG success criteria are identified and reported. Third, a mapping between the HTML client page and the server source page is established. Fourth, fixes to the server source page are suggested; this implies automatic modification of the code of server source page. Therefore, this framework can be applied to create new accessible websites, or to improve the accessibility of existing websites.
Machine-readable datasets that have increasingly become available in open formats in recent years have great potential as a foundation for innovative applications and services. Linked Data in particular-a set of best practices for publishing and connecting structured data on the Web-has facilitated significant progress in evolving the Web of documents into a Web of Data. However, although this concept has opened up many opportunities for data sharing and collaboration, integrating data is still a challenging task that requires considerable technical expertise and a profound understanding of the underlying datasets. In this paper, we introduce a novel approach to provide knowledge workers with the necessary tools to leverage the fast growing Linked Data Cloud by creating semantic-aware dataflow processes. To this end, we introduce the "Linked Widget" concept as an enhancement of standard Web Widgets. These widgets are based on a semantic data model that facilitates powerful mechanisms for gathering, processing, integration, and visualization of data in a user-friendly Mashup environment. By allowing knowledge workers to easily create complex Linked Data applications in an adhoc manner, our approach should contribute towards reducing existing barriers of Linked Data adoption.
The Semantic Web can be a very promising platform for developing knowledge management systems. It has been applied in many domains, especially in Software Engineering. The main benefit is high improvement in the precision by searching for knowledge, as well as the possibility to retrieve a composition of knowledge sources which are relevant for the software development process. However, the problem is how to represent knowledge in the machineunderstandable form, so that relevant knowledge can be found by machine agents. This paper will present a framework that improves Java software development process with our knowledge acquisition and management tools.2011 Third International Conference on Knowledge and Systems Engineering 978-0-7695-4567-7/11 $26.00
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