Vol.8, No.4, November 2019.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Concept Map Mining Approach Based on the Mental Models Retrieval


Radka Nacheva, Latinka Todoranova, Snezhana Sulova, Bonimir Penchev


© 2019 Radka Nacheva, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 8, Issue 4, Pages 1484-1491, ISSN 2217-8309, DOI: 10.18421/TEM84-54, November 2019.


Received: 20 August 2019.

Revised:   12 October 2019.
Accepted:  18 October 2019.
Published: 30 November 2019.




Studying the mental models of software users is not a new topic in the scientific literature, but we could point out that it is also not sufficiently researched. Still there is no universal method which could be used for exploration and visual presentation of mental models. Therefore, the aim of the current article is to propose an approach for concept map mining based on retrieving users’ mental models. To achieve this, a combination of text mining techniques and concept map software is used in the research article.


Keywords – mental models, conceptual models, concept map mining, text mining, human–computer interaction.



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