The Web is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it efficiently has become really difficult for final users. Thus, we have to provide them with tools to search the needed

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... s in an easy way. In this paper, we propose an approach to provide users with different domain views on a general data repository, enabling them to perform both keyword and refinement searches. Our system exploits the knowledge stored in ontologies to 1) perform efficient keyword searches over a specified domain, and 2) refine the user's domain searches. In this way, we enable the definition of different semantic views on Linked Data datasets without having to change the original semantics. We present a prototype of our approach that focuses on the case of DBpedia, which provides a semantic way to access to Wikipedia.