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Authors: Pedro Ivo Lancellotta ; Victor Ströele ; Regina Braga ; José Maria N. David and Fernanda Campos

Affiliation: Federal University of Juiz de Fora, Brazil

Keyword(s): Business Intelligence, Complex Networks, Data Visualization, Decision Making, InfoVis, Ontology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Software Engineering ; Strategic Decision Support Systems ; Symbolic Systems ; Tools, Techniques and Methodologies for System Development

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.

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 195-202. DOI: 10.5220/0006662001950202

@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},
issn={2184-4992},
}

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
IS - 2184-4992
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
PB - SciTePress