Expressiveness of SHACL Features
Bogaerts, Bart, Jakubowski, Maxime, Jan Van den Bussche · VUBIR (Vrije Universiteit Brussel) · 2021
Knowledge Graphs (KGs) are becoming increasingly popular in the industry and academia. They can be represented as labelled graphs conveying structured knowledge in a domain of interest, where nodes and edges are enriched with metaknowledge such as time validity, provenance, language, among others. Once the data is structured as a labelled graph one can apply reasoning techniques to extract relevant and insightful information. We provide an overview of deductive and inductive reasoning approaches for reasoning in KGs.