A jurisprudence search system is a solution that makes available to its users a set of decisions made by public bodies on the recurring understanding as a way of understanding the law. In the similarity of legal decisions, jurisprudence seeks subsidies that provide stability, uniformity, and some predictability in the analysis of a case decided. This paper presents a proposed solution architecture for the jurisprudence search system of the Brazilian Administrative Council for Economic Defense (CADE), with a view to building and expanding the knowledge generated regarding the economic defense of competition to support the agency’s final procedural business activities. We conducted a literature review and a survey to investigate the characteristics and functionalities of the jurisprudence search systems used by Brazilian public administration agencies. Our findings revealed that the prevailing technologies of Brazilian agencies in developing jurisdictional search systems are Java programming language and Apache Solr as the main indexing engine. Around 87% of the jurisprudence search systems use machine learning classification. On the other hand, the systems do not use too many artificial intelligence and morphological construction techniques. No agency participating in the survey claimed to use ontology to treat structured and unstructured data from different sources and formats.
Resumo-Este artigo propõe uma extensão à Ontologia do Orçamento Federal Brasileira, hoje disponível no regime de Dados Abertos, de modo a integrar a tal ontologia conceitos de geolocalização que permitem a tomada de decisão no domínio orçamentário, considerando as características regionais do país. A extensão proposta envolve a transformação dos dados relacionais de localizadores, elemento de dados chave do modelo orçamentário, associando-os ao conceito de geolocalização de Regiões do Brasil, para uso na composição das triplas RDF publicadas como dados abertos. Para avaliar o efeito dessa adição, este trabalho analisa os resultados obtidos pela consulta de localizadores relacionados à educação e saúde, comparando os índices com aqueles da tendência extraída do Índice de Desenvolvimento Humano correspondente, concluindo com uma análise da tendência de destinação regionalizada de recursos.Palavras-chave: ontologia; finanças; orçamento; governo eletrônico; dados abertos.Abstract-This paper proposes an extension to the Ontology of the Brazilian Federal Budget, available today as Open Data, in order to integrate to this ontology geolocation concepts that enable decision making in the budgetary field, considering the regional characteristics of the country. The proposed extension involves the transformation of relational data representing locators which are key elements of the budget data model, linking them to the concept of geo-regions of Brazil, so as to use those locators in the composition of RDF triples published as open data. To evaluate the effect of this addition, this paper analyzes the results obtained by consulting locators related to education and health, comparing the obtained rates with those of the trends extracted from the corresponding Human Development Index, and concluding with a trend analysis regarding the regionalized allocation of budgetary resources.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.