Architecture for Efficient String Dictionaries in E-Learning
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/82429
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2018_Ferrandez_etal_Proceedings.pdf | 303,46 kB | Adobe PDF | Open Preview | |
This item is licensed under a Creative Commons License