Automatizando a extração de dados públicos: mineração de dados aplicada ao Diário Oficial do Estado do Pará

Abstract

The Government of the State of Pará discloses its public acts through its Official Gazette, making them available in a format aimed at human consumption. However, the lack of structure of the format provided makes it difficult to analyze data by computer systems, hampering the obtaining of relevant information for inspection in a quick manner. For its solution, a computational model is proposed to synthesize data from the Official Gazette ofthe State of Pará, in a well-defined model, in order to assist systematic analysis supported by computational tools. For this, this work addresses the fundamental processes for a model to be able to structure and extract public information from the State of Pará, as well as the entire process of implementing it, using techniques that allow the extraction of information from unstructured data. Finally, the proposed model managed to achieve the expected objectives, synthesizing the information provided in the Official Gazette of the State of Pará and persisting in a database, making the analysis of data faster and more efficient and faster.