Uma arquitetura diferenciada para apoio à tomada de decisão baseada em semântica e redes complexas

Abstract

The expansion scenario in information technology has led to the need for the analysis of huge amounts of data, to manage information for quick decision making. The Business Intelligence provides mechanisms to optimize decision making for an application domain. One of the mechanisms used, called visual abstractions, allows a more efficient data analy-sis, making its interpretation simpler. Information Visualization associated with a data processing solution, such as the integration of complex networks, the aggregation of se-mantic information and data updating, are important tools for decision making. This dissertation has an architecture that uses the interpretation of the semantics and struc-tural analysis as combined techniques to data analysis. From the proposed architecture, a data visualization platform was built to help in decision making. The evaluation of the platform was done through the application of a pilot study and a case study, both continued to be part of a research group data dairy production system. This data comes from the real world, used in a milk management platform and laboratory analyzes of milk quality. The results demonstrate the feasibility of the proposal.