Designing Data-Intensive Web Applications for Content ACCESSIBILITY USING WEB MARTS.

The article discusses the design of data intensive Web applications using Web marts, focusing on content accessibility for disabled users. Web marts are systems that provide several dimensions of access with different levels of detail depending on a user's needs. The author's discuss modeling conten...

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Publicado en:Communications of the ACM Vol. 50; no. 4; pp. 55 - 62
Autores principales: Ceri, Stefano, Matera, Maristella, Rizzo, Francesca, Demaldé, Vera
Formato: Artículo
Publicado: Association for Computing Machinery Apr2007
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Designing Data-Intensive Web Applications for Content ACCESSIBILITY USING WEB MARTS.
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          Ceri, Stefano
          Matera, Maristella
          Rizzo, Francesca
          Demaldé, Vera
        affil:
          Professor of Database Systems, Politecnico di Milano, Italy
          Assistant Professor, Politecnico di Milano, Italy
          Politecnico di Milano, Italy
          Institute of Communication Technologies, Faculty of Communication Sciences, University of Lugano, Switzerland
      su:
        Internet industry
        Computer industry
        Web development industry
        Information superhighway
        Computer programming
        Electronic data processing
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          Internet industry
          Computer industry
          Web development industry
          Information superhighway
          Computer programming
          Electronic data processing
      ab: The article discusses the design of data intensive Web applications using Web marts, focusing on content accessibility for disabled users. Web marts are systems that provide several dimensions of access with different levels of detail depending on a user's needs. The author's discuss modeling content, which is considered the most important aspect of data-intensive Web applications. Methods to design content-accessible Web applications, including classical data models and hypertext contextual models, are analyzed.
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    language: English
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