Annotating Knowledge Resources to Support Learning

This work investigates and reviews state-of-the-art approaches to automatic organization of unstructured digital content. Given the review of the current challenges, the research questions address a vital issue of automatic metadata generation with the focus on link generation and link typing based on the analysis of content. The motivation and the potential impact these methods may generate both in the general context and in the context of digital learning repositories are discussed. Finally, a detailed research plan and the current results are presented.