Personalization on E-Content Retrieval Based on Semantic Web Services
In the current educational context there has been a significant increase in Learning Object Repositories (LOR), which are found in large databases available on the hidden web. All these information is described in any metadata labeling standard (LOM, Dublin Core, etc). It is necessary to work and develop solutions that provide efficiency in searching for heterogeneous content and finding distributed context. Distributed information retrieval, or federated search, attempts to respond to the problem of information retrieval in the hidden Web. Multi-agent systems are known for their ability to adapt quickly and effectively to changes in their environment. This paper presents a model for the development of digital content retrieval based on the paradigm of virtual organizations of agents using a service oriented architecture.