Analysis and implementation of algorithms for similarity matching of concepts in conceptual maps
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Palavras-chave

Conceptual maps
Similarity comparison
Concepts

Como Citar

SIQUEIRA, Kaique; BAIOCO, Gisele. Analysis and implementation of algorithms for similarity matching of concepts in conceptual maps. Revista dos Trabalhos de Iniciação Científica da UNICAMP, Campinas, SP, n. 27, p. 1–1, 2019. DOI: 10.20396/revpibic2720192539. Disponível em: https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2539. Acesso em: 7 dez. 2025.

Resumo

Conceptual maps are graphical tools that represent the relations between concepts. They are useful for learning, assessment, organization and representation of knowledge by assisting in the retention and retrieval of information during the learning process. Therefore, they are used in the most different purposes. However, there are difficulties in comparing conceptual maps referring to the syntax and semantic of the concepts used. This work aimed to implement, analyze and qualify algorithms for similarity comparison of concepts present in conceptual maps.

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Referências

NOVAK, J. D.; CAÑAS, A. J. The Theory Underlying Concept Maps and How to Construct and Use Them. 2008.
MOREIRA, M. A. Mapas Conceituais e Aprendizagem Significativa. 2012
Creative Commons License
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

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