Enhancing Access to Legal Data through Ontology-based Representation: A Case Study with Brazilian Judicial Appeals

In Brazil, legal requirements for public information access, as mandated by Law no 12.527/2011, have amplified the role of the open data portals in disseminating data of collective and general interest. Despite legal provisions, there are persistent difficulties in presenting data in first-class semantic formats, which ultimately creates obstacles for digital citizens to fully exercise their newfound rights to information access. These obstacles can be addressed by building semantic data warehouses to enhance the use of open data through computational ontologies. In this paper, we demonstrate the use of a well-founded legal ontology for representing data from legal decisions extracted from a Brazilian judicial organ website. We focused our approach on a specific type of appeal in the Brazilian legal system, the Request for Standardization (RS) of interpretation of federal law, which seeks to standardize the understanding of the Appeals Panels of Federal Special Courts. Employing web scraping techniques, we built a complete ETL (Extract, Transform, Load) process to triplify data on RS appeals and their rulings. We used a gUFO-based OWL renderization of a previously developed OntoUML ontology (called OntoRS) to transform the extracted data into a suitable RDF format and populate a Virtuoso triple store. Thus, the OntoRS ontology allowed us to perform SPARQL queries to obtain new insights, metrics and small RDF graphs.