With the considerable growth of linked data, researchers have focused on how to increase the availability of semantic web technologies to provide practical usages for real-life systems. Question answering systems are an example of real-life systems that communicate directly with end-users, understand user intention and generate answers. End users do not care about the structural query language or the vocabulary of the knowledge base where the point of a problem arises. In this study, a question-answering framework that converts Turkish natural language input into SPARQL queries in the geographical domain is proposed. Additionally, a novel Turkish ontology, which covers a 10 th -grade geography lesson named “Spatial Synthesis: Turkey”, has been developed to be used as a linked data provider. Moreover, a gap in the literature on Turkish question answering systems, which utilizes linked data in the geographical domain, is addressed. A hybrid system architecture that combines natural language processing techniques with linked data technologies to generate answers is also proposed. Further related research areas are suggested.