Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making

Pedro Ivo Lancellotta, Victor Ströele, Regina Braga, José Maria N. David, Fernanda Campos

2018

Abstract

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.

Paper Citation

in Harvard Style

Lancellotta P., Ströele V., Braga R., David J. and Campos F. (2018). Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-298-1, pages 195-202. DOI: 10.5220/0006662001950202

in Bibtex Style

@conference{iceis18,
author={Pedro Ivo Lancellotta and Victor Ströele and Regina Braga and José Maria N. David and Fernanda Campos},
title={Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2018},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006662001950202},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making
SN - 978-989-758-298-1
AU - Lancellotta P.
AU - Ströele V.
AU - Braga R.
AU - David J.
AU - Campos F.
PY - 2018
SP - 195
EP - 202
DO - 10.5220/0006662001950202