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Towards technological approaches for concept maps mining from text

Camila Zacché de Aguiar, Davidson Cury and Amal Zouaq

Article (2018)

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Abstract

Concept maps are resources for the representation and construction of knowledge. They allow showing, through concepts and relationships, how knowledge about a subject is organized. Technological advances have boosted the development of approaches for the automatic construction of a concept map, to facilitate and provide the benefits of that resource more broadly. Due to the need to better identify and analyze the functionalities and characteristics of those approaches, we conducted a detailed study on technological approaches for automatic construction of concept maps published between 1994 and 2016 in the IEEE Xplore, ACM and Elsevier Science Direct data bases. From this study, we elaborate a categorization defined on two perspectives, Data Source and Graphic Representation, and fourteen categories. That study collected 30 relevant articles, which were applied to the proposed categorization to identify the main features and limitations of each approach. A detailed view on these approaches, their characteristics and techniques are presented enabling a quantitative analysis. In addition, the categorization has given us objective conditions to establish new specification requirements for a new technological approach aiming at concept maps mining from texts.

Uncontrolled Keywords

Concept Map, Concept Map Mining, Knowledge Representation.

Subjects: 2700 Information technology > 2700 Information technology
Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/5197/
Journal Title: CLEI Electronic Journal (vol. 21, no. 1)
Publisher: CLEI
DOI: 10.19153/cleiej.21.1.7
Official URL: https://doi.org/10.19153/cleiej.21.1.7
Date Deposited: 27 Feb 2023 10:16
Last Modified: 09 Apr 2024 01:24
Cite in APA 7: Aguiar, C. Z. , Cury, D., & Zouaq, A. (2018). Towards technological approaches for concept maps mining from text. CLEI Electronic Journal, 21(1). https://doi.org/10.19153/cleiej.21.1.7

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