Volume 17 Number 5 (Sep. 2022)
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JSW 2022 Vol.17(5): 192-206 ISSN: 1796-217X
doi: 10.17706/jsw.17.5.192-206

An Automatic System to Enhance Videos for a Learning Experience, Using an Interlinking Technique

Olfa Ben Said1,2*, Ali Wali2, Adel M. Alimi2
1Department of Computer Science, King Khalid University (KKU), Abha, Kingdom of Saudi Arabia.
2REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia.


Abstract—Basing on the emergent evolution of web technologies and the increasing number of video consumerson the one hand, and the immense role of this multimedia data in the information diffusion in the other hand, we have thought of designing a new system which makes connection between videosand Knowledge base connected to the semantic web technologies, inorder to enhance videos.We aim by this work to enhance information received by the video's viewer with extra-data. The added data must be related to the video topics and explains more the content of the video. In this paper, we present the proposed system with the different components and used techniques.

Index Terms—Enhancing video system, interlinking, enter cation, open linked data, semantic web, dbpedia, disambiguation, summarization.

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Cite: Olfa Ben Said, Ali Wali, Adel M. Alimi, "An Automatic System to Enhance Videos for a Learning Experience, Using an Interlinking Technique," Journal of Software vol. 17, no. 5, pp. 192-206, 2022.

Copyright © 2022 by the authors. 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)

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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