Using Linked Open Data to Enrich a Corporate Memory of Universities

Abstract

International audience

In this work we describe a proposal for managing educational resources produced by three high level educational institutions. Our approach takes into account not only the meta informations inside educational resources but also the meta informations extracted from linked open data in the web associated to massive open online courses (MOOCs). We visualize educational resources as a semantic corporate memory where semantic technologies and Linked Open Data approaches can improve the information integration. Textmining takes an important part in our approach for generating links between concepts and detecting some important associations.