Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/37058
Title: Knowledge maps as support tool for managing scientific competences: a case study at a portuguese research institute
Author: Génio, João
Trifan, Alina
Neves, António J. R.
Keywords: knowledge maps
Concept maps
Network graphs
Natural language processing
Scientific competence management
Data mining
Issue Date: Mar-2023
Publisher: MDPI
Abstract: In a research organization, finding someone who is an expert in a field and that can take up a given role, defining areas of excellence, or employing a new member all require understanding the competences that are available in-house. This work explores the idea of using knowledge or competence maps as support tools for managing scientific competences. We implemented a use case at the Institute of Electronics and Informatics Engineering of Aveiro, a research institute at the University of Aveiro, but the methodology we proposed can be adapted to virtually any research organization. Knowledge maps are visual representations of information that can be designed with variable granularities with respect to the knowledge assets of an organization. From a research management perspective, knowledge maps support the discovery of research competences and provide an instant overview of a topic by showing the main areas at a glance. This solution explored in this work employed data mining approaches for gathering information from public databases and presenting it using knowledge maps. Other visualization tools, such as bar graphs, tables, filters and search functionalities, were created and integrated into a web platform. When put together, these components could turn the platform into a key component for the administration of a research organization.
Peer review: yes
URI: http://hdl.handle.net/10773/37058
DOI: 10.3390/publications11010019
Appears in Collections:DETI - Artigos
IEETA - Artigos

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