Architecture for Efficient String Dictionaries in E-Learning

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Title: Architecture for Efficient String Dictionaries in E-Learning
Authors: Ferrández, Antonio | Peral, Jesús | Mora, Higinio | Gil, David
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información (GPLSI) | Lucentia | Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: String dictionaries | E-learning architecture | Context awareness in learning process
Knowledge Area: Lenguajes y Sistemas Informáticos | Arquitectura y Tecnología de Computadores
Issue Date: 18-Oct-2018
Publisher: MDPI
Citation: Ferrández A, Peral J, Mora H, Gil D. Architecture for Efficient String Dictionaries in E-Learning. Proceedings. 2018; 2(19):1251. doi:10.3390/proceedings2191251
Abstract: E-Learning is a response to the new educational needs of society and an important development in Information and Communication Technologies. However, this trend presents many challenges, such as the lack of an architecture that allows a unified management of heterogeneous string dictionaries required by all the users of e-learning environments, which we face in this paper. We mean the string dictionaries needed in information retrieval, content development, “key performance indicators” generation and course management applications. As an example, our approach can deal with different indexation dictionaries required by the course contents and the different online forums that generate a huge number of messages with an unordered structure and a great variety of topics. Our architecture will generate an only dictionary that is shared by all the stakeholders involved in the e-learning process.
Sponsor: This work was supported in part by the Spanish Ministry of Economy and Competitiveness (MINECO) under Project SEQUOIA-UA (TIN2015-63502-C3-3-R), Project RESCATA (TIN2015-65100-R) and Project PROMETEO/2018/089; and in part by the Spanish Research Agency (AEI) and the European Regional Development Fund (FEDER) under Project CloudDriver4Industry (TIN2017-89266-R).
URI: http://hdl.handle.net/10045/82429
ISSN: 2504-3900
DOI: 10.3390/proceedings2191251
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/proceedings2191251
Appears in Collections:INV - LUCENTIA - Artículos de Revistas
INV - I2RC - Artículos de Revistas
INV - GPLSI - Artículos de Revistas
INV - AIA - Artículos de Revistas

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