We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a\r\ncooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base\r\nand WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is\r\nindependent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic\r\nrepresentation and then answered by consulting the semantics sources of information. The system is able to clarify the problems\r\nof ambiguity and helps finding the path to the correct answer. If there are multiple answers to the question posed (or to the similar\r\nquestions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more\r\ncooperative and clarified answer to the user.
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