The rapid growth of the Semantic Web in the last years has led to the emergence of Ontology-Based Question Answering systems, namely systems that exploit the ontological structure of data in order to interpret and answer natural language questions. In this paper, we are interested in question answering scenarios where both semantic data and user questions can be characterized by vagueness and we propose a novel framework that is able to handle this vagueness by means of fuzzy ontologies.