Our purpose is to provide end users a means to query knowledge bases using natural language queries and thus hide the complexity of formulating a query expressed in a graph query language such as SPARQL. The main originality of our approach lies in the use of query patterns. Our contribution is materialized in a system named SWIP, standing for Semantic Web Interface Using Patterns, which is situated in the Semantic Web framework. This paper presents the main issues addressed by our work and establishes the list of the important steps (to be) carried out in order to make SWIP a fully functional system.
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