Building and Analyzing the Brazilian Legal Knowledge Graph
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Authors
Pires, Rilder S.
Santos, Henrique
Guedes, Ricardo
Neto, João A. Monteiro
Caminha, Carlos
Furtado, Vasco
Issue Date
2022-11-01
Type
Article
Language
en_US
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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.
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Publisher
Joint Proceedings of the 3th International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL 2022) and the 1st International Workshop on Knowledge Graph Summarization (KGSum 2022)
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Journal
Volume
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PubMed ID
DOI
ISSN
1613-0073