Uma proposta de ecossistema de big data para a análise de dados abertos governamentais conectados

Abstract

The present study proposes a Big Data Ecosystem to support the analysis of government linked open data. Big Data environments are characterized by large volume of data, in a wide variety of formats, which require appropriate velocity processing. In the Ecosystem proposed in this study, the processing of massive volumes of data is done using new approaches in Information Science and Computer Science, which involves technologies and processes for the collection, representation, storage and dissemination of information. An Information Architecture model, composed of usability principles, metadata, thesaurus, taxonomies and ontologies is used to organize and represent these enormous volumes of data and the respective semantics. With the implementation of the Ecosystem, we intend to provide the end user with the means to consult a large volume of public data from the most diverse areas of government. This aids information professionals in identifying sources of relevant data, to prepare an appropriate environment for making decisions, based on the analysis and data mining, and helps public managers carry out analyses in search of insights that can support them in establishing and monitoring public policies efficiently.