Uma ontologia para integrar dados de evasão escolar, desempenho acadêmico e distribuição de auxílios socioeconômicos: estudo de caso no IFMG

Abstract

The massive use of computing technologies by organizations from the most varied fields of activity is linked, in particular, to the increasingly frequent emergence of environments that require extreme decision-making capacity from managers, combining quality and agility. In scenarios marked by decisions supported by data, the support of artifacts that contribute to integrating heterogeneous data sources in organizations, such as ontologies, is essential. This article presents how to develop a domain ontology to organize knowledge related to school dropout, academic performance and distribution of socioeconomic aid in a Federal Higher Education Institution, as well as integrating data from such constructs. The methodology used, with emphasis on the SABiO approach, provided the necessary support for the entire domain ontology development process. As main results, there was the integration of data from four heterogeneous sources in accordance with the specified ontology, allowing the recovery of information that answered the competence questions that indicate the coherence between the purpose of the ontology and the reality of its scope. Regarding the institutional data analyzed, the importance of the socioeconomic aid distributed for reducing school dropouts and increasing students' academic performance was evident.