Modelo de sistema de recomendación para la indexación y recuperación del objeto de aprendizaje basado en un sistema multiagente
Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System
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Este artículo propone un modelo de aplicación de sistema multiagente para indexar, recuperar y recomendar objetos de aprendizaje almacenados en repositorios diferentes y heterogéneos. Los objetos dentro de estos repositorios se describen mediante campos llenos que utilizan diferentes estándares de metadatos. El mecanismo de búsqueda cubre varios repositorios de objetos de aprendizaje diferentes y el mismo objeto puede describirse en estos repositorios mediante el uso de diferentes tipos de campos. Con el objetivo de mejorar la precisión y la cobertura en términos de recuperación de un objeto de aprendizaje y mejorar la significación de los resultados, proponemos un modelo de recuperación de información basado en el enfoque de sistema multiagente y un modelo ontológico para describir el dominio de conocimiento cubierto.
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