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

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1 Papers

The Gold Tree: An Information System for Analyzing Academic Genealogy

Topics: Coupling and Integrating Heterogeneous Data Sources; Organisational Issues on Systems Integration; e-Learning and e-Teaching; Interoperability

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

Digital Object Identifier: 10.5220/0007758401140120

Proceedings of ICEIS 2019, ISBN: 978-989-758-372-8

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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.

Related Ontology Subjects/Areas/Topics (24)

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