Interlinking e-learning resources and the web of data for improving student experience

The Web provides not only several data sources with useful and relevant information with e-Learning purposes, but also information that is not easy to retrieve. The web of linked data is a repository based on semantic technologies. Several researchers have been oriented to this kind of interoperable e-Learning repositories and establish that the Linked Data approach has the potential to fulfill the e-Learning vision of Web-scale interoperability of e-Learning resources as well as highly personalized and adaptive e-Learning applications. The paper presents an automatic concept extraction system used to improve personalized searching framework. It could be considered as one possible instance of a more general concept concerning the transition from the Document Web to the Document/Data Web and the consequent managing of these immense volumes of data.