E-Learning: Educational Video Search through Dynamic Video Annotation
N. Sivaranjani1, Amudha S2, Mary Linda I3
1N. Sivaranjani, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Amudha S, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3Mary Linda I, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 05 November 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 31 December 2019 | PP: 37-41 | Volume-9 Issue-2S4 December 2019 | Retrieval Number: B10701292S419/2019©BEIESP | DOI: 10.35940/ijitee.B1070.1292S419
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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: Multimedia tools available on the web, particularl y for learning environments, play an important role in the fiel d of education. With the growing number of these multimedia tools, it is important to explore, share, recycle and connect the m to enhance learning experiences. Many videos available on the web lack semantic connections between them even though they have some similarity through their content. Hence to bridge the gap between the semantically related videos, in the proposed system, we adopt the Linked Data technology, in order to semantically annotate the video resources. The relationships between those annotations are stored in the video annotation ontology. The proposed method provides the benefits of high accuracy, performance and good knowledge for the users.
Keywords: E-learning, Information Retrieval, Video Annotation Ontology, Linked Data, Semantic Web.
Scope of the Article: Smart Learning and Innovative Education Systems