<  Retour au portail Polytechnique Montréal

Towards technological approaches for concept maps mining from text

Camila Zacché de Aguiar, Davidson Cury et Amal Zouaq

Article de revue (2018)

Document en libre accès dans PolyPublie et chez l'éditeur officiel

Document publié alors que les auteurs ou autrices n'étaient pas affiliés à Polytechnique Montréal

[img]
Affichage préliminaire
Libre accès au plein texte de ce document
Version officielle de l'éditeur
Conditions d'utilisation: Creative Commons: Attribution (CC BY)
Télécharger (1MB)
Afficher le résumé
Cacher le résumé

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
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: 11 mai 2023 19:40
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

Statistiques

Total des téléchargements à partir de PolyPublie

Téléchargements par année

Provenance des téléchargements

Dimensions

Actions réservées au personnel

Afficher document Afficher document