Semantic mashup of open online resources

The growth of Open Educational Resources and Open Courseware are a result of a prolonged process of e-learning industry growth based on standards development, social resource production and consolidation of e-learning model of teaching. However, despite this considerable number of educational resources available, and variety of approaches for finding and search resources, there is still not many approaches to combine search of labelled -either based on metadata or in semantic relationships- and non-labelled material. This paper describes a method for search and retrieval of open educational resources and open courseware combining these both kind of retrieval approaches, regardless of its representation, their metadata, or their management system. The method retrieves resources and cluster the results according to specific search terms combining web crawling with automatic semantic labelling using Linked Open Data. The experimentation conducted shows the feasibility of the method to respond to diverse queries about different topics of educational resources.