Transforming Open Data to Linked Open Data Using Ontologies for Information Organization in Big Data Environments of the Brazilian Government: the Brazilian Database Government Open Linked Data - DBgoldbr

摘要

The Brazilian Government has made a massive volume of structured, semi-structured and non-structured public data available on the web to ensure that the administration is as transparent as possible. Subsequently, providing applications with enough capability to handle this "big data environment" so that vital and decisive information is readily accessible, has become a tremendous challenge. In this environment, data processing is done via new approaches in the area of information and computer science, involving technologies and processes for collecting, representing, storing and disseminating information. Along these lines, this paper presents a conceptual model, the technical architecture and the prototype implementation of a tool, denominated DBgoldbr, designed to classify government public information with the help of ontologies, by transforming open data into open linked data. To achieve this objective, we used "soft system methodology" to identify problems, to collect users needs and to design solutions according to the objectives of specific groups. The DBgoldbr tool was designed to facilitate the search for open data made available by many Brazilian government institutions, so that this data can be reused to support the evaluation and monitoring of social programs, in order to support the design and management of public policies.