Analysis of Feed Efficiency in Dairy Cattle from the Integration of Heterogeneous Databases and Ontologies
Abstract
With today's increasingly competitive market, dairy farmers need to cut costs and make their herds competitive. In this sense, the computational support has provided alternatives to the identification of more efficient animals and, consequently, providing economic and environmental gains. This paper presents an architecture to support food efficiency research developed at Embrapa Gado de Leite, with the aim of discovering new knowledge and new relationships in a large experiment dataset, using ontologies and data analysis visualization techniques. The preliminary evaluation results showed to be promising. Therefore, we consider that the use of ontologies and visualization techniques can contribute to the advancement of research in feed efficiency.
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