Camila Zacché de Aguiar, Davidson Cury et Amal Zouaq
Article de revue (2018)
Document publié alors que les auteurs ou autrices n'étaient pas affiliés à Polytechnique Montréal
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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.
Mots clés
Concept Map, Concept Map Mining, Knowledge Representation.
Sujet(s): | 2700 Technologie de l'information > 2700 Technologie de l'information |
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Département: | Département de génie informatique et génie logiciel |
URL de PolyPublie: | https://publications.polymtl.ca/5197/ |
Titre de la revue: | CLEI Electronic Journal (vol. 21, no 1) |
Maison d'édition: | CLEI |
DOI: | 10.19153/cleiej.21.1.7 |
URL officielle: | https://doi.org/10.19153/cleiej.21.1.7 |
Date du dépôt: | 27 févr. 2023 10:16 |
Dernière modification: | 27 sept. 2024 12:01 |
Citer en 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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