Knowledge maps as support tool for managing scientific competences

• Autor(a) principal: Génio, João Miguel Costa
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/38423
• topic: Knowledge maps; Concept maps; Graph visualization; Natural language processing; Scientific competence management; Data mining

In a research organization, finding someone who is expert in a field and can take up a given role, defining areas of excellence, or employing a new member require understanding the competences available in-house. This work explores the idea of knowledge or competence maps as a support tool for managing scientific competences, trying to reduce the identified research management gap at the Institute of Electronics and Informatics Engineering of Aveiro. If successful, this idea could also be implemented at any other research organization. Knowledge maps are a visual representation of information which can be designed with variable granularity 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 in knowledge maps. Other visualization tools such as bar charts, tables, filters and search functionalities were created and integrated into a web platform. When put together, these components can turn this platform into a key component for the administration of a research organization.