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Authors: Gabriel Madeira ; Eduardo N. Borges ; Matheus Barañano ; Prícilla Karen Nascimento ; Giancarlo Lucca ; Maria de Fatima Maia ; Helida Salles and Graçaliz Dimuro

Affiliation: Centro de Ciências Computacionais, Universidade Federal do Rio Grande – FURG, Av. Italia, km 8, 96203-900, Rio Grande, RS and Brazil

Keyword(s): Academic Genealogy, Genealogy Trees, Data Integration, Information Visualization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Computer-Supported Education ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; e-Business ; e-Learning ; e-Learning and e-Teaching ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Organisational Issues on Systems Integration ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: Academic genealogy investigates the relationships between student researchers and academy professionals. In recent years, it proved to be a powerful technique to help analyze the spread of scientific knowledge. Tools that make to visualize these relationships among academics easier are potentially useful and have been proposed. This work specifies and describes the development of a Web information system for creating and visualizing academic genealogy trees from a set of metadata extracted and integrated from multiple sources. The proposed system allows a researcher to query and track information about his or her advisers and graduate students at any level. A case study was explored to validate the system using data from more than 570 thousand theses and dissertations.

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Paper citation in several formats:
Madeira, G.; Borges, E.; Barañano, M.; Nascimento, P.; Lucca, G.; Maia, M.; Salles, H. and Dimuro, G. (2019). The Gold Tree: An Information System for Analyzing Academic Genealogy. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 114-120. DOI: 10.5220/0007758401140120

@conference{iceis19,
author={Gabriel Madeira. and Eduardo N. Borges. and Matheus Barañano. and Prícilla Karen Nascimento. and Giancarlo Lucca. and Maria de Fatima Maia. and Helida Salles. and Gra\c{C}aliz Dimuro.},
title={The Gold Tree: An Information System for Analyzing Academic Genealogy},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={114-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007758401140120},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - The Gold Tree: An Information System for Analyzing Academic Genealogy
SN - 978-989-758-372-8
IS - 2184-4984
AU - Madeira, G.
AU - Borges, E.
AU - Barañano, M.
AU - Nascimento, P.
AU - Lucca, G.
AU - Maia, M.
AU - Salles, H.
AU - Dimuro, G.
PY - 2019
SP - 114
EP - 120
DO - 10.5220/0007758401140120
PB - SciTePress