Recently, sources of structured and unstructured data have been made available on the web, and gained attention among researchers from several areas. They are become more interested in using this global dataset due to its size and variety of information. In the Semantic Web field, many studies have translated structured data into unstructured data, and vice-versa, to make them comprehensible to machines and humans. However, we argue that we can take advantage of the existing information, in both text and RDF format. In this paper we focus on finding a way to compare them, and discovering which available text can represent an existing RDF. Hence, we propose a strategy to check whether a text represents the same knowledge that is shown in RDF format.