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Proceedings 2018, 2(19), 1251;

Architecture for Efficient String Dictionaries in E-Learning

Department of Software and Computing Systems, University of Alicante, 03690 Alicante, Spain
Department of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, Spain
Presented at the 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), Punta Cana, Dominican Republic, 4–7 December 2018.
Author to whom correspondence should be addressed.
Published: 18 October 2018
(This article belongs to the Proceedings of UCAmI 2018)
PDF [303 KB, uploaded 22 October 2018]


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.
Keywords: string dictionaries; e-learning architecture; context awareness in learning process string dictionaries; e-learning architecture; context awareness in learning process
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Ferrández, A.; Peral, J.; Mora, H.; Gil, D. Architecture for Efficient String Dictionaries in E-Learning. Proceedings 2018, 2, 1251.

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