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Relevance is a key concept nowadays. We need to search for relevant information but we do not want to spend much of our time doing it. Most times it is hard to choose what is worth looking at. To help it, this paper proposes a framework that uses ontologies to suggest relevant topics. This framework is based on a cognitive theory called Relevance Theory [4]. In this particular case, we used a domain ontology to represent a proficiency test context and an application ontology to represent the relevance method. A proof of concept was conducted in order to demonstrate the validity of the framework. Some preliminary results point that the suggestion made from the system took to slightly more focused learning paths.