A New Metadata Scheme for Multimedia and Intelligent Learning Objects
Jihad Chaker1, Mohamed Khaldi2

1Jihad CHAKER, Abdelmalek Essaadi University, Faculty of Sciences, Tetouan, Morocco.
2Mohamed KHALDI, Abdelmalek Essaadi University, Faculty of Sciences, Tetouan, Morocco.
Manuscript received on November 12, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3340-3345 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3746129219/2019©BEIESP | DOI: 10.35940/ijeat.B3746.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The purpose of this contribution is to improve the interoperability of educational and multimedia metadata in the context of a new application profile based on the LOM standard, without affecting their educational purpose. our metadata analysis led to the creation of new elements and new categories by strengthening the semantic representation of pedagogical objects and the different structures of multimedia documents, namely: spatial, temporal and hypermedia structures, this proposal also includes the characteristics of description visual. This contribution was essential given the absence of a metadata schema capturing multimedia and educational characteristics at the same time. the choice to gather descriptive elements based on the LOM standard, has proven to be wise since this standard is the most recognized and known in the field of eLearning. Throughout this article, we cite the advantages of pedagogical use of Multimedia, more specifically in eLearning. We then present intelligent learning environments on the one hand and educational objects on the other. Finally, we fix the new elements of our application profile, the latter is crowned with a semantic description in the form of an ontology.
Keywords: Multimedia content, Smart learning objects, Metadata interoperability, Application profile, Ontology, Multi-agent Systems, Ontology matching, E-learning standards.