Mejora de la accesibilidad web mediante el uso de agentes inteligentes

• Autores: María Gabriela Miranda, Adriana Elba Martín, Gabriela Gaetan
• Localización: Informe Científico Técnico UNPA, ISSN-e 1852-4516, Vol. 5, Nº. 2, 2013, págs. 133-160
• Idioma: español
• Enlaces
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• Dialnet Métricas: 1 Cita
• Resumen

  • La Web 2.0 propone nuevos desafíos para asegurar la “Accesibilidad Universal.” Los diferentes tipos de usuarios Web se enfrentan con numerosas barreras de accesibilidad cuando interactúan con los diferentes tipos de sitios y aplicaciones que coexisten hoy en la Web 2.0, desde los denominados Simple Web Presence hasta las Rich Internet Applications o las Mobile Web Applications. En este escenario, la Accesibilidad Web es un atributo de calidad clave para propiciar el acceso a la información y a los servicios Web y proveer beneficios en el desarrollo de productos para la Web tales como la optimización de motores de búsqueda y la escalabilidad de aplicaciones multi-dispositivo. Los enfoques que asisten a la evaluación de la Accesibilidad de productos Web existentes, son semi-automáticos y requieren de la intervención humana en la detección de “falsos positivos”/“falsos negativos” y en la corrección de errores comprobados automática y manualmente. Para simplificar el proceso de toma de decisiones y reducir la intervención humana, las herramientas de evaluación, reparación, transformación y filtrado incorporan técnicas de automatización basadas en conceptos de inteligencia artificial. En este trabajo, se presentan y describen los enfoques y/o herramientas basados en agentes inteligentes y luego se propone una comparativa para analizar las contribuciones que estos hacen a la mejora de la accesibilidad, ya sea aplicando técnicas propias o las Web Content Accessibility Guidelines propuestas por el consorcio W3C.

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