Ensuring Semantic Annotation and Retrieval within Pervasive E-Learning Systems

In the age of mobility, many times a certain teacher, a student or a document face difficulties to be integrated in different e-learning systems. Focusing on the computer science field, we present a service-oriented solution for annotating and retrieving the documents and persons involved in this domain, enhancing their mobility inside pervasive e-learning systems. The solution is based on the ACM classification system, which is used in order to develop user competence profiles, to annotate materials, and to retrieve them. The ontology-based retrieval mechanism will investigate not only the matches with the concepts involved in a query, but also with their related concepts inside the ACM classification system; the ranking algorithm will consider the documents content as well as the user competence.