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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. This paper presents an architecture for data visualization that uses semantic and structural interpretation as conjugated techniques for data analysis in different domains, through an interface which supports visualization strategies. A case study was carried out with a specialist in real-world agricultural context using data from dairy cattle to answer our research question. The results demonstrate the feasibility of the proposal.

Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making