Towards Service-Oriented Semantic Annotation and Retrieval within Pervasive E-Learning Systems
Résumé
In the age of mobile computing where users can access learning materials while moving around different locations, a teacher, a student or a document might often face difficulties in being integrated within different e-learning systems. Focusing on the Computer Science field, we present a service-oriented solution for providing users with recommendations of interest documents and possible collaborators, enhancing their mobility within a pervasive e-learning system. Our solution is based on the ACM classification system, which is used to develop user competence profiles, to annotate materials, and to recommend them.