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 10th 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.

本研究提出了一种问题回答框架，在地理领域，将土耳其自然语言输入转换为 SPARQL 查询。同时，开发了一种新颖的土耳其本体论，用作链接数据提供者，将自然语言处理技术与链接数据技术相结合以生成答案的混合系统体系结构也被提出。