Building and Analyzing the Brazilian Legal Knowledge Graph

Abstract

Artificial Intelligence has proven to be effective in streamlining processes in several domains. The Brazilian judiciary, specifically, has a very large number of cases, above the work capacity of the courts, generating urgency in the creation of methods that mainly support the access and manipulation of unstructured data. This paper presents the construction of a Knowledge Graph of the Brazilian Legislation using Semantic Web standards that allows an understanding of how Brazilian laws interact with each other. The Knowledge Graph was quantitatively evaluated using complex network analysis and it was found to be useful to support experts in understanding the Brazilian legislation by detecting special nodes, namely the “bridge-like nodes”, that play an important role in the structure of the graph.