
Abstract: We present an implemented approach to transform natural language sentences into SPARQL, using background knowledge from ontologies and lexicons. Therefore, eligible technologies and data storage possibilities are analyzed and evaluated. The contributions of this paper are twofold. Firstly, we…

Abstract: In today‘s (big) data-intensive world, scalable technologies enabling the efficient management, storage and analysis of large data set are needed. However, the underlying logic of the emerging data-driven business is very different to the established understanding of the traditional…