InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry

Vitor Pinto, Fernando Parreiras

2021

Abstract

Intending to be more and more data-driven, companies are leveraging data science upon big data initiatives. However, to reach a better cost-benefit, it is important for companies to understand all aspects involved in such initiatives. The main goal of this paper is to provide a framework that allows professionals from the mining industry to accurately describe data science upon big data. The following research question was addressed: ”Which essential components characterize an interdisciplinary framework for data science upon big data in mining industry?”. To answer this question, we will extend OntoDIVE ontology to create a framework capable of explaining aspects involved in such initiatives for the mining industry. As a result, this paper will present InfoMINDS - A Framework for Data Science upon Big Data Relating People, Processes and Technologies on Mining Industry. This paper will contribute to leveraging data science initiatives upon big data allowing application of OntoDIVE on real-case scenarios in mining industry.

Paper Citation

in Harvard Style

Pinto V. and Parreiras F. (2021). InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 784-791. DOI: 10.5220/0010484107840791

in Bibtex Style

@conference{iceis21,
author={Vitor Pinto and Fernando Parreiras},
title={InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={784-791},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010484107840791},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry
SN - 978-989-758-509-8
AU - Pinto V.
AU - Parreiras F.
PY - 2021
SP - 784
EP - 791
DO - 10.5220/0010484107840791