Currently, the existence of large amounts of data suggests the use of tools capable of processing them and facilitate the process of finding new knowledge. The discovery of new facts that were not previously explicit in data can be crucial to decision-making processes. In this article, we present a survey on Semantic Web standards, stores of RDF data (Resource Description Framework) and inference mechanisms available in RDF stores. The main goal is to report how inference can be applied and derive new facts from existing data. For this purpose, we demonstrate inferences obtained from a set of predefined rules over data about scientific publications stored in a NoSQL database designated of MarkLogic.
Ferreira, Isabel; Pereira, José Luís; and Baptista, Ana Alice, "Knowledge Discovery from RDF Data stored in NoSQL databases" (2019). CAPSI 2019 Proceedings. 19.