Adaptive System to Support Decision-making of Dairy Ecosystem in Boyacá Department

Javier Antonio Ballesteros-Ricaurte, Angela Carrillo-Ramos, Carlos Andrés Parra Acevedo, Juan Erasmo Gómez Morantes

2018

Abstract

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.

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Paper Citation


in Harvard Style

Ballesteros-Ricaurte J., Carrillo-Ramos A., Acevedo C. and Morantes J. (2018). Adaptive System to Support Decision-making of Dairy Ecosystem in Boyacá Department.In Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-324-7, pages 253-260. DOI: 10.5220/0006947502530260


in Bibtex Style

@conference{webist18,
author={Javier Antonio Ballesteros-Ricaurte and Angela Carrillo-Ramos and Carlos Andrés Parra Acevedo and Juan Erasmo Gómez Morantes},
title={Adaptive System to Support Decision-making of Dairy Ecosystem in Boyacá Department},
booktitle={Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2018},
pages={253-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006947502530260},
isbn={978-989-758-324-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Adaptive System to Support Decision-making of Dairy Ecosystem in Boyacá Department
SN - 978-989-758-324-7
AU - Ballesteros-Ricaurte J.
AU - Carrillo-Ramos A.
AU - Acevedo C.
AU - Morantes J.
PY - 2018
SP - 253
EP - 260
DO - 10.5220/0006947502530260