Adaptive system to support decision-making of dairy ecosystem in Boyacá department

Milk ecosystem of Boyacá department is an important economic sector; nevertheless, it presents economic losses due to different problems, particularly, the lack of information to support decision making processes regarding bovine diseases management. It must be emphasized that although there are solutions to this type of problem, most of them only partially fulfill the required functionalities like: disease simulation systems in particular regions, policy management, and notifications for different actors. For these reasons, we propose EiBeLec, an adaptive system to support decision making, where users can visualize information according to their requirements, context, characteristics and information needs, through services. In this position paper, we describe EiBeLec and emphasize on the functionality provided to the government users (e.g., mayor, governor, among others), supporting both decision making and regional infectious disease visualization, in order to provide the authorities, the tools to generate policies and strategies for disease control and eradication.