Open AccessE-Learning: Educational Video Search through Dynamic Video Annotation
Author(s) -
N. Sivaranjani,
Mary Linda
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1070.1292s419
Subject(s) - computer science , annotation , ontology , world wide web , multimedia , bridge (graph theory) , semantic web , information retrieval , similarity (geometry) , artificial intelligence , image (mathematics) , philosophy , epistemology , medicine
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.